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How Remote Work Has Impacted Cloud Security

As COVID-19 affected the entire world, it redefined the conditions of “security” within the physical and digital space. While enterprises adjust to the new normal of remote work, new challenges arise as the virtual ecosystem expands. The global pandemic has created a surge of cloud adoption as organizations plan for rapid digitization to meet evolving workforce demands. Traditional cyber-resilience measures and conventional monitoring no longer address the problems of today’s reality, as the expanded digital surface demands cloud-based, automated solutions to enable business continuity and security. As part of “Designed for Change” series we’ll highlight how the surge of remote work has impacted cloud security while exploring the benefits of always-on security. The Threat Landscape: The Growing Use of Cloud and Risks of Data Breaches For many companies, the global pandemic underscored the pressing need for IT modernization. On average, over three-quarters of knowledge workers are now working from home. The resulting broader use of cloud applications and public cloud infrastructure generates new and vast opportunities for threat actors. A recent Oracle study found that 40% of organizations have experienced cyber business fraud within the last 24 months. Similarly, respondents claimed a 47% increase in cybersecurity attacks, including phishing attacks, following the COVID-19 disruption. The decentralized and rapid adoption of cloud services demands greater precautions over compliance and cyber hygiene. Enterprises average 573 shadow IT applications, meaning many have not been vetted by IT and cybersecurity teams, resulting in loose configurations and unsupervised use. Warning signs exhibited by malicious insiders are now all that much more difficult to detect as individuals work in the safety of their homes. In addition, the growth of collaboration platforms and file sharing services creates another vector for cyber criminals to exploit. Ransomware malware can encrypt local files synched to the cloud, eliminating the ability to restore from a cloud-resident backup and increasing the likelihood of a victim paying ransom. Meanwhile, a top misconfiguration in the cloud over the last 24 months is over-privileged accounts (44%), becoming a leading source of fraud. Benefits of Automation and Always-On Security In response to massive disruption caused by the global pandemic, businesses are looking to cloud in pursuit of greater agility and resilience. New digital initiatives are leaning to cloud-enabled automation and scalability to deliver a secure foundation that can adapt against critical changes. Security automation will play a key function in establishing zero-trust security - where there is no defined perimeter inside which every user, workload, device, and network is inherently trusted. As the digital workspace divides and expands, zero-trust will provide a strategic framework that enables risk-based decisions through the evaluation of all available data points (e.g. user identity, device, location). It performs a context-based approach to multi-factor authentication (MFA) that allows for adaptive authentication that accounts for varying attributes and anomalies associated with a user. The automation and engineering behind zero-trust architectures can help strengthen security posture and simplify security management - providing a robust platform built for modernization and disruption. In parallel, Artificial Intelligence (AI) and Machine Learning (ML) are becoming foundational requirements for cybersecurity technologies. Studies found that 82% of firms have implemented an ML cybersecurity solution, while 53% of the remaining companies plan to implement the technology in the next three to five years. AI and ML are largely used to detect and prevent new and unknown threats (e.g. new malware variants, exploits, or phishing attacks). However, the expanding use of cloud services is pushing security analysts to discover new intelligent applications beyond malware. Cyber defense resources are growing at a much slower rate than the amount of data, devices, and breadth of users we protect- and the only way to combat these challenges is through AI and ML. The global cybersecurity workforce shortage is projected to reach 1.8 million by 2022, with 68% of workers in North America attributing to this deficit. This is one of the primary reasons as to why 88% of all workloads will be autonomously updated within the next 3 years to enable new advanced automation and intelligence. With increasing staffing gaps around scale and skill, it’s reasonable that organizations are looking to AI/ML to reduce the number of events security analysts need to investigate. As the pragmatic applications of AI/ML continue to grow and improve, cybersecurity teams will gain a critical tool in helping prevent incidents and breaches, maintaining availability of services, and enabling other strategic benefits. Oracle Security Solutions for Apps, Database, and Infrastructure Oracle Software as a Service Security All Oracle SaaS solutions offer the benefits of a modern cloud suite. They provide complete, agile, secure, and open solutions for the entire organization without the caveats that come with updating and managing a costly, physical on-premises solution. Oracle Identity Cloud Service (IDCS) manages user access and entitlements across a wide range of cloud and on-premises applications and services using a cloud-native, identity as a service (IDaaS) platform. Organizations can enable a zero-trust strategy and establish user identity as a new security perimeter. Oracle Cloud Access Security Broker (CASB) leverages machine learning to automatically detect threats across the entire cloud stack. Gain application visibility for regulatory compliance to identify anomalies, fraud, and breach patterns across your cloud applications. Oracle Risk Management Cloud (RMC) automates advanced security and transaction monitoring to strengthen financial controls, ensure separation of duties (SoD), stop fraud, and streamline audit workflows. Oracle Autonomous Database Security Oracle Autonomous Database helps organizations transform IT database operations by automatically patching, updating, securing, and managing itself—reducing the risk of human error and unexpected downtime, and accelerating the pace of innovation while using fewer resources. Oracle Autonomous Data Warehouse (ADW) is a cloud database service optimized for analytical processing. It automatically scales compute and storage, delivers fast query performance, and requires no database administration. Autonomous Transaction Processing (ATP) is a cloud database service that simplifies database operations for OLTP and real-time analytical applications. Reduce runtime costs by up to 90% and get unparalleled scale, performance, and security with embedded machine learning-based automations. Oracle Autonomous JSON Database is a cloud document database service that makes it simple to develop JSON-centric applications. It features simple document APIS, serverless scaling, high performance ACI transactions, comprehensive security, and low pay-per-use pricing. Oracle Cloud Infrastructure Security Oracle Cloud Infrastructure is built from the ground up to meet the needs of mission-critical applications while delivering modern development controls. Automated Patching: With Oracle Autonomous Linux and OS Management in Oracle Cloud Infrastructure, OS security patches are automatically applied. This helps reduce complexity and human error, while delivering increased cost savings, security, and availability. Always-on Encryption: Oracle Cloud Infrastructure uses a ubiquitous encryption program to encrypt all data, in all places, at all times. For customer tenant data, it uses encryption both at rest and in transit. Architected-in Customer Isolation: Oracle Cloud Infrastructure is built around our security-first principles. Its architecture helps reduce risk from advanced threats and isolates tenant data to ensure data privacy and security. Always on Monitoring and Mitigation: Oracle Cloud Infrastructure sets up and enforces proactively security policies to manage cloud security posture and remediate security inconsistencies.   To learn more, visit https://www.oracle.com/cloud/oracle-cloud-services/ or check out these security reports: Oracle and KPMG Cloud Threat Report 2020 Achieving Always-on Security in the Cloud Era (CIO Brief)

As COVID-19 affected the entire world, it redefined the conditions of “security” within the physical and digital space. While enterprises adjust to the new normal of remote work, new challenges arise...

Data Management

How CISO Roles Have Expanded

For today’s business leaders, the pandemic has emphasized the need for cloud readiness and digital modernization. The new normal is driving organizations to act faster while maintaining business continuity and ensuring data security. Growth of remote work and acceleration of cloud adoption now challenge CISOs to ensure responsive protection against rapid change, while supporting new digital transformation (DX) and cloud computing initiatives. Technology advancements are triggering greater collaboration between IT and business, resulting in a cultural shift for modern executives. As businesses ramp up their modernization plans, it’s up to CISOs to ensure a robust foundation that protects against critical company and market shifts. As part of “Designed for Change” series we’ll highlight how CISO roles have expanded over the years while exploring the benefits of always-on security. Threat Detection and Security Posture during COVID-19 As people and businesses adjust to new norms of social distancing and remote work, it’s cultivated a critical reliance on digital connectivity. This demand has accelerated cloud adoption, as cloud spending rose 37% to $29 billion during the first quarter of 2020 - and this trend is likely to persist as virtual work becomes increasingly normalized. However, with growing cloud usage comes new and expanded opportunities for threat actors. As work becomes more de-centralized, it will require greater diligence around maintaining cyber hygiene and monitoring insider threats. Today’s organizations are reporting a 47% increase in cybersecurity attacks, including phishing attacks. Meanwhile, misconfigurations have also become a leading source of security breaches, a top problem being over privileged accounts (44%) over the last 24 months.  Ensuring Business Continuity and Scalability The broad adoption of cloud services demands a cybersecurity cultural shift that aligns the organization’s business needs for cloud with its associated risk. As a result, CISOs are shifting towards a business focus to help ensure secure execution of new digital initiatives. Today, we’re seeing the emergence of the DX CISO (digital transformation CISO). These executives will be called upon to drive cybersecurity into the corporate culture, integrate cybersecurity into DX initiatives, and embed strong cybersecurity within all aspects of IT technology - especially public cloud computing. Business leaders recognize that modernization requires security mechanisms that can scale and adapt to change. As new cloud services become integrated into traditional business processes, the complexity of activity between human and machine will evolve, producing new cybersecurity challenges. CISOs must continuously work with LoB leaders to align business processes to cloud computing while explaining cyber-risks to stakeholders, updating threat models, and identifying instances of shadow IT applications. These functions are critical for ensuring business continuity and scalability as companies pursue new digital initiatives. In fact, 73% of organizations have hired or plan to hire a CISO with greater cloud computing skills, while 53% of organizations employ or plan to employ a business information security officer (BISO) to work with LoB managers to ensure secure business processes. Digital Modernization: Benefits of a Security-First Model Despite their new business functions, CISOs are fundamentally responsible for selecting, deploying, and operating the required security controls that enable the business while addressing cyber-risk. The challenge here is enabling an integrated and cohesive security strategy across the entire technology portfolio. Disparate agendas across lines of business, application development, IT operations, cybersecurity risk, and compliance teams, must be met with an internalized cybersecurity strategy and shared responsibility. CISOs must rationalize and transform the cloud ecosystems into a tightly integrated and scalable security stack while meeting divergent business needs. This requires a high-performance data pipeline for stream and batch data processing, API integration between tools, threat intelligence ingestion for data enrichment, and process automation for immediate incident response and risk mitigation. To find the right balance between enabling the use of cloud services and protecting sensitive transactions and data, businesses need to cultivate a culture of “security-first”. A security-first model follows the principle that security is embedded in all digital functions, powered by automation and intelligence to deliver a robust and agile infrastructure. For example, in DevOps, this means the automation of cybersecurity processes and controls via integration with the continuous integration and continuous delivery (CI/CD) toolchain, an approach often referred to as “DevSecOps”. Privilege policies may also establish zero-trust network access by locking down privileged accounts to enable effective monitoring of sensitive data in flight and at rest. Organizations also need visibility across IT assets and third-party connections to address changing risk factors like cyber-attacks and software vulnerabilities in real-time. Collectively, it’s about strengthening your security posture and reducing risk with security-first design principles that center on built-in security controls for simplified and effective management. Oracle Security Solutions for CISOs Oracle provides a security-first architecture, reducing risks against continuous and evolving threats. Our architecture features design principles that include built-in tenant isolation and least privilege access.  Security controls are always-on, with layered defenses that prevent misconfiguration errors and implement mandatory security best practices. Customers can automate security to reduce complexity, prevent human error, and lower costs with automated patching for Autonomous Database and threat mitigation for Oracle Cloud Infrastructure provided by our Cloud Guard, Maximum Security Zones  and Identity Cloud Service. This includes always-on encryption and continuous monitoring of user behavior for end-to-end protection. Oracle’s security solutions alleviate the challenges of cloud adoption by providing intelligent resources to simplify manual practices. As people, companies, and CISOs continue to adjust against today’s every-changing state of normalcy, Oracle’s solutions focus on cultivating new forms of agility to enable seamless business transformation. To learn more, visit https://www.oracle.com/cloud/oracle-cloud-services/ or download the e-book “Mission of the Cloud-centric CISO”.    

For today’s business leaders, the pandemic has emphasized the need for cloud readiness and digital modernization. The new normal is driving organizations to act faster while maintaining business...

Business Analytics

How Companies are Innovating Faster in the Face of Change

With the global pandemic creating so much uncertainty, the last year has only underscored the need for businesses to adapt and stay agile, while also finding new ways to stay relevant. In this second installment of our “Designed for Change” series, we will shine a light on the expanding role of IT leaders, and how their decisions have the potential to shape the future of an entire organization. Digital disruption is an unstoppable force. Many businesses are realizing that they need to embrace it - and the faster, the better. Keeping an eye on the ball means you can get ahead of the game that would lead to further growth and opportunities for the business. CIOs are not an exception. As industries are rapidly evolving, IT leaders are rethinking how they produce results. The future is being built on cloud technologies, data, team collaboration, and digital transformations of the way businesses run. For example, IDG’s 2019 State of the CIO survey finds that 62% of CIOs are being asked to create new revenue streams by creating new products or services. IT leaders report that strategy and business innovation are expected to dominate their time. A new approach to IT In the era of constant technological change, IT leaders need new strategies that enable business agility and accelerated growth. The change is reinforcing IT to rethink planning processes, team structures, and decision-making processes. With a plan in place, it can unlock the potential of your operations and optimize value from your technology – allowing your business to dream big and execute with precision. Here are a few steps you can take to shift your team’s focus to innovation, with the right cloud provider at your side: Reshape operations with automation - Game changing technologies of the past such as the phone, computer, and the internet have fundamentally changed lives and set a course to new opportunities. One of the most exciting technological innovations in the market today is machine learning. It allows organizations to automate mundane manual processes while enabling IT to focus on innovation and create real value for business. When database operational tasks such as tuning, provisioning, configuring, scaling patching, remain manual, it takes away time from initiatives that drive value and innovation for the organization. IT leaders need solutions that can reduce repetitive, manual tasks across their entire stack of cloud technologies so their staff can dedicate more time and resources to high-value work that drives the business forward. Rethink how to gain value from data - Market leaders in every industry depend on data to gain a deeper understanding of consumers, analyze all aspects of customer journey, and make more. This new data economy has changed the competitive landscape of the tech world. Organizations are now on a race to see who can gain the most value from their data the fastest stands to win. IT leaders need analytics tools that scale to meet changes in demands and easy-to-use in order to turn data into insights, and insights into action. How is Oracle contributing to the new IT leader role? Oracle creates an ecosystem for innovation by leveraging autonomous cloud and database technologies, enabling faster, easier data access so that you can innovate and make better business decisions. Oracle provides: Exclusive Autonomous Database and autonomous services benefits to avoid manual efforts, ensuring higher performance, security and operational efficiencies for your team. Ability to run different data types (Spatial, JSON, IoT), and workloads on a single database versus having your team manage multiple systems Ensuring analytics are on autopilot—allowing you to implement automation and self-service to make the best possible decisions. A broad range of database engines and deployment choices to deploy workloads wherever required. Automated migration tools that streamline your transition to the cloud. Find out how Telecom Fiji used Oracle Autonomous Database and Oracle Analytics help the telecom operator to deliver innovative services and improve customer experiences. With new approaches to automation and data analytics, IT leaders are shaping the narrative for a post-pandemic world. The solutions they put in place now will no doubt be the drivers of growth for years to come. By taking advantage of autonomous services to improve efficiency, scalability, and performance, IT can focus on the big picture. View the IT Leaders Guide eBook to learn more. 

With the global pandemic creating so much uncertainty, the last year has only underscored the need for businesses to adapt and stay agile, while also finding new ways to stay relevant. In this...

Data Management

Designed for Change

In response to the COVID-19 pandemic, CIOs and CTOs have been the changemakers of their organizations, wearing more hats and taking on more responsibility than ever before. This new normal has demanded that they focus on employees, security, and budgets while still maintaining business continuity. The need for social distancing and working remotely has presented challenges when it comes to migrating workloads; and having the right cloud infrastructure that is adaptable to your needs can make all the difference. In this series, titled “Designed for Change”, we’ll highlight the ways in which IT leaders have pivoted to make their business succeed and grow in this new, constantly changing world. The post pandemic world will likely be very different, and no two industries or geographies will look alike. This will be a time where bold innovation and change will make all the difference. Every industry is adapting and reshaping their operations. And the pandemic has only accelerated the need for cloud innovations like AI and ML as a way to evolve for what’s next. Organizations are thinking about the long-term effect the pandemic will have on their industry, and the best way to use technology at scale. New trends are emerging across industries, such as: Omni-channel services are on the rise as buying patterns shift for consumer goods, with the need for delivery, chat, and virtual services. Leveraging AI-powered algorithms can sift through terabytes of data to produce insights in minutes rather than weeks Digital communications and virtualization of patient healthcare due to stay-at-home orders have become increasingly important. The implementation of AI to modernize healthcare systems provides a more agile approach to analyzing data and assessing health issues. Supply chains are seeing a dramatic rise in demand disrupting order fulfillment while also enabling new technology to emerge for end-to-end visibility across the supply chain model. The seamless digitization and automation of finance processes are key to helping operationalize these new business models. Many IT leaders are now at the center of the conversation for how to refine business processes and redefine the future of how work gets done. There’s a new expectation to rapidly advance an organization to meet all of the new industry changes. Today’s leaders are expected to take on strategic initiatives, such as: Making Change – IT has been rethinking their next steps, both short- and long-term. They not only want to make an impact on their business, but also set an industry standard for operating their entire IT organization—all while tracking progress closely. Transforming applications that have been traditionally left behind on-premises is an important step in becoming that change maker. Whether it’s new levels of automation, performance tuning, scaling, or security – it’s possible for a IT leader to be that driver of change across an entire organization Cultivating Innovation – IT has always been focused on driving innovation—and that’s no different during a global pandemic. As organizations look for more stability, data has been a lifeline. Sr. IT leaders can create an ecosystem of innovation with new technologies that increase speed, as well as new ways to answer problems Building Resiliency – IT has been dealing with change that’s happening by the minute, rather than by the week or month. This includes new ways of engaging with customers, dealing with different work behaviors, and stabilizing core infrastructure to handle remote work. IT leaders have to take a hard look at where they can optimize business processes, expedite collaboration, and ensure data accuracy.  Transforming your business for what’s next As organizations are finding new ways to transform the way they approach business, the cloud remains a key necessity in helping drive new “digital-first” strategies. The ever-growing need for remote working and social distancing has placed priority on making products and services available to anyone anywhere - making the increased capacity with cloud-based solutions so critical. And while there are many cloud providers to turn to, it can be difficult to find one with the right combination of robust hardware, automation, and support needed for moving on-premises workloads to cloud. A common issue for many IT departments is maintaining a now decade-old cloud technology, where performance, security, and migration options were often afterthoughts. These initial clouds were mainly built for two types of customers: those building new businesses on a cloud-native foundation and those shifting non-essential workloads from on-premises. But maintaining this aging infrastructure not only costs money, it also takes away valuable personnel from important projects. The cloud has become the default that runs nearly every new enterprise software application, while also being the first choice for production workloads. Rising critical demands have compelled the creation of a next-generation cloud, built and optimized specifically for enterprises that need to run their most demanding workloads predictably and securely. The use of a second-generation cloud and a digital-first strategy enables enterprises to focus on managing their business rather than their IT infrastructure. It brings the benefits of automation, intelligence, and massive scalability to ensure high levels of reliability, security, and operational efficiency. Coupled together, these traits unlock expansive business opportunities for innovation and change. As companies seek stability in face of the global crisis, the cloud serves as a lifeline. Cloud computing is creating an ecosystem of innovation with new technologies that increase speed and provide new ways to answer problems. As a result, it’s creating an entirely new class of enterprises that are based on innovative uses of data and creative solutions at scale. The right cloud can make all the difference – one that works hard and adapts as quickly as you do. Oracle provides the only cloud platform that delivers the agility, scalability, security, and performance required for businesses to continually innovate and transform. Learn more about how Oracle can transform your cloud strategy.

In response to the COVID-19 pandemic, CIOs and CTOs have been the changemakers of their organizations, wearing more hats and taking on more responsibility than ever before. This new normal has...

Data Management

Why the Best Strategies Hinge on Automation

Digital transformation is back at the top of every agenda and remains the number one priority for CIO’s. According to IDC, direct digital transformation investment is growing and expected to approach $6.8 trillion by 2023. The largest growth is anticipated to come from data intelligence and analytics as companies create information-based competitive advantages.  Challenges as a result of a pandemic have only accelerated digital transformation initiatives as workforces have been required to go remote with very little time to prepare. Organizations are now forced to radically alter the way they do business - retiring traditional processes to more agile principles. Nonetheless, many organizations still rely on manual processes that slow down the development with data, making it harder to outpace the competition. Build a successful digital transformation plan with data-driven automation Simplified business data strategies are becoming a priority as organizations increasingly rely on data to make critical and strategic decisions to better serve their customers. Here are a few ways automation can help set you up for data-driven transformation: 1. Establish the right foundation in the cloud This allows businesses to protect their data from the fast-growing internal and external attacks without threatening the availability of their main applications. Cost and performance are important drivers of cloud adoption as well as operational agility and greater efficiency. 2. Identify new revenue streams with data-driven insights Today, organizations depend on exploring data as in-depth as possible to extract the maximum amount of valuable information. They depend on utilizing the right tools to extract the information and enable them to take full advantage of the data collected to make smarter decisions faster. The key to this success is choosing the platform that provides analysts with an efficient way to consolidate data from multiple systems, spreadsheets and other data sources into a trusted, maintainable, and query-optimized source. 3. Protect your data and reduce the risk of a data breach It’s not a secret that data breaches continue as cyber criminals are becoming smarter and more innovative to circumvent security measures. Additionally, as data volumes grow, so do the challenges of protecting it. What is available today? Oracle created the Modern Data Warehouse – a single, integrated machine learning solution that includes such services as the self-driving autonomous data warehouse,  integration, data lakes, data science, and analytics services – all in one to make business decisions faster. The modern data warehouse simplifies the entire data life cycle, including data ingestion, transformation, curation, discovery, and analysis. With a modern data warehouse, you can extract the highest value from your data in order to better serve customers today while enabling business innovation for tomorrow. Interested to learn more, download our NEW Modern Data Warehouse ebook. Get started today for free. Sign up for Oracle Cloud Free Tier and discover its unique advantages. And, sign up for the data warehouse product tour.  

Digital transformation is back at the top of every agenda and remains the number one priority for CIO’s. According to IDC, direct digital transformation investment is growing and expected to approach...

App Dev

Oracle and Accenture: Better Together, Putting the Us in Trust

In this disrupted business environment, the pace of digital-led technology transformation has only accelerated, and as a result, data and trust have become valuable currencies. Autonomous and intelligent technologies are driving the workforce, becoming agents of innovation that must seamlessly integrate with more traditional functions. As explained in the recent Accenture Technology Vision for Oracle 2020, now more than ever, there’s a pressing need for organizations to evolve their tech-driven business models responsibly, with trust as a basis for competitive differentiation and growth.  Let’s take a look at some of the key trends highlighted in this annual forecast of technology innovation, and how companies take on the new with Oracle Cloud now. Trend: AI and Me Businesses are taking advantage of AI by applying automation tools into existing workflows, which enables faster operations. While these benefits remain crucial, the impact is limited without new methods of human-machine collaboration. A crucial hallmark for any business is the ability to create opportunities for employees to pair their unique skillsets with the limitless capacity of machines. This will pave the way for the next generation of intelligent businesses - where humans and AI systems work beyond a linear “command and response” relationship, into a more interactive, exploratory, and adaptable experience. In alignment with this trend and the need for intelligent businesses to evolve, Oracle recently announced a new cloud-based customer experience (CX) management solution for the communications industry. Many Communication Service Providers (CSPs) need to engage customers with an experience that is responsive without human intervention, powered by the unification of data and AI. Oracle Digital Experience for Communications, built on Oracle Cloud Infrastructure, is a suite of industry-specific applications that capture and analyze customer-interaction data from front and back-office operations. CSPs are seeking ways to engage and best serve their customers by transforming their channels and business support systems in order to deliver a digital-first, effortless, conversational customer experience. During the Virtual Event: Digital Experience for Communications, Accenture Oracle Intelligent Platform Services Europe Lead, Andrea Cesarini, explained our New Normal has been an accelerator to the need for a “new currency” of combined customer experience, resilience and trust. Digital Experience for Communications is a solution powered by AI-based recommendations to help drive operational excellence, reduce costs, and provide more intelligent and personalized experiences for customers at a rapid speed. Trend: Innovation DNA Comprehensive innovation is an imperative for companies that want to remain relevant in the coming years. Competitive market threats and unforeseen forces are pushing businesses to continuously change and accelerate their pace of innovation. Seventy-six percent of surveyed executives believe that the stakes for innovation have never been higher - getting it right will require new ways of innovating with ecosystem partners and third-party organizations. To thrive in the future, companies will need to overcome the challenge of pairing continuous innovation and experimentation. Organizations are facing the pressure to build new technology-powered engines that drive transformation – this establishes their own unique innovation DNA. For business leaders looking to have their own unique innovation DNA sequence, pay attention to these four foundational building blocks. Experience: Create moments that matter to the unique needs of those involved, whether they’re customers, employees or suppliers. Enable interactions that are relevant to the terms of specific users to drive effective communication. Data: Leverage automation, insights, and intelligence to fuel innovation and drive transformation. The goal is to make your data accessible and connected, while enabling new ways to elevate information to insights. Process: Converge the front and back office to form connected processes. Unify the customer touchpoints across your business to create consistent interactions and simplified experiences. Intelligence: Combine digital automation with intelligent capabilities to simplify business processes and power seamless operations. Enable a culture for continuous improvement and agile evolvement. The intelligent enterprise is required to modernize the back-office and optimize operations across Finance, Supply Chain and HR. In strategic collaboration, Oracle and Accenture are helping customers boost agility and innovation in the cloud, with an added edge to performance and cost, powered by autonomous technology. Be Relentless Innovators with Oracle Cloud   When the pandemic is over, it will be clear which companies made moves to drive innovation and which companies didn’t. Making the choice now to have a more intelligent cloud with built-in automation can save time, money, and energy down the road. With people around the world expecting an uninterrupted stream of content, web browsing and social media access, delivering on that can be a challenge without adequate data management capabilities. Many companies are saying goodbye to aging infrastructure, and using AI to sift through all that data to give your business an edge by freeing up IT staff to do what they do best – build more and create more. Oracle is driving this expansion of technological collaboration with our AI innovation for cloud and database management. Oracle Cloud Observability and Management Platform is an example of this evolution - with visibility and machine learning-driven actionable insights for simplified intelligence and effective problem solving. Oracle’s integrated functionality and automation for DevOps monitoring and IT operations management makes it 50% easier to prevent and solve IT problems. Coupled with automation, these services drive scale and predictable results, to ensure that technology goes hand-in-hand with business.    A conversation about Oracle’s cloud capabilities isn’t complete without also discussing Oracle Autonomous Data Warehouse (ADW) and Autonomous Transaction Processing (ATP). Oracle Autonomous Data Warehouse is a cloud data warehouse service that automates the processes of operating a data warehouse and securing data. It features elastic, automated scaling, performance tuning, and security, while also offering a broad set of built-in capabilities that enable machine learning analysis, simple data loading, and data visualizations. Accenture Global IaaS Director, Chris Pasternak, helps organizations recognize that Oracle Autonomous Data Warehouse reduces management time so they can stop worrying about mundane tasks associated with administering a database and focus on driving true value from their data. Similarly, Oracle Autonomous Transaction Processing is a cloud database service that eliminates the complexity of operating and securing highly available and high-performance databases. It automates the provisioning, configuring, tuning, scaling, patching, encrypting, and repairing of databases. It also includes all of Oracle’s advanced database options such as RAC, Multi-tenant, Partitioning, In-Memory, Advanced Security, and Advanced Compression. The two services are built to support everything from simple web apps to large applications that are critical for business operations - while enabling new intelligent capabilities that drive elevated collaboration across an organization. Oracle Dedicated Region Cloud@Customer delivers all of Oracle’s next-generation public cloud capabilities and services - including Oracle Autonomous Database and Cloud applications - on premise and in customer datacenters. An industry first, it delivers the full range of Oracle Cloud services wherever customers need them. As a result, customers in highly regulated industries with strict compliance can modernize their operations and take advantage of the performance, economies of scale, and agility benefits that come with cloud computing. Prepare for the Journey into 2021 By enabling new strategies that enforce digital trust and effective collaboration, businesses can unlock new opportunities for creativity and innovation. The common denominator driving change for today’s industries is the cloud. These innovations are not only resetting customer expectations, but allowing every business to be nimble, more responsive, and more personalized. Knowing your data means knowing your customers, and cloud computing has delivered an entirely new class of companies that are based entirely on innovative uses of data. With the foundational Accenture myConcerto for Oracle platform, Accenture meets clients where they are on their cloud journey. Oracle Cloud provides an agile and scalable technology platform for continuous data-driven innovation with digital trust. View the full Accenture Oracle TechVision 2020 report.

In this disrupted business environment, the pace of digital-led technology transformation has only accelerated, and as a result, data and trust have become valuable currencies. Autonomous and...

Data Management

Why Migrate to Oracle Cloud Infrastructure?

Migrating to the public cloud for any organization that has been running workloads on-premises can be very intimidating. Some enterprise applications and legacy infrastructure still remain on-premises. It’s often a preference as most enterprise applications hold long-term value, data, and crucial business processes. How do IT leaders make the decision when it’s time to move to cloud? When planning a migration to cloud, IT leaders with businesses that started on-premises have several difficult decisions to make early-on. They have to deal with the complexities of moving certain data, applications, or business processes to cloud. It often will require a set of tools, services, and planning to understand the implications to their business. With the overall role of IT expanding to focus more on the business strategy, it’s also critical to consider how cloud reduces costs, improves resource management, and improves the speed of innovation across the organization. While embracing cloud may be cost effective and help advance business goals, ensuring a straightforward migration between traditional infrastructure and the cloud is essential.  Next Generation Cloud Infrastructure Oracle has delivered a public cloud architected specifically to run enterprise applications and databases. It provides tools and utilities for constructing new cloud native and mobile apps, all on a unified platform and networking fabric.  Oracle Cloud Infrastructure delivers the performance, versatility, and governance required by enterprise IT while offering a level of performance often exceeding what is commonly found in on-premises, high-performance computing environments. Oracle also offers tools to migrate existing applications to the cloud without forcing businesses to rearchitect those applications—along with focused cloud support for Oracle applications such as Oracle E-Business Suite, JD Edwards, PeopleSoft, Siebel, and more. Oracle Cloud Infrastructure (OCI), a next-generation cloud, combines the elasticity and utility of the public cloud with the control, security, performance, and predictability of on-premise computing environments. Oracle Cloud Infrastructure offers consistent service levels for all types of applications and computing environments. This includes technical computing workloads such as simulating crash test, modelling insurance risks, and testing new manufacturing materials.  With Oracle Cloud, organizations have their own network, called a virtual cloud network which is isolated from every other customer’s network.  These virtual cloud networks can include single-tenant, high-performance, bare metal servers that contain no provider software. This enables organizations to customize their computing environments and run applications in the same manner as they do on-premise. In addition, Oracle’s next-generation cloud delivers true multi-cloud innovation, with recent partnerships with Microsoft Azure and VMware enabling companies to leverage their existing investments. Learn more about our VMware solution. Read about Entel’s expanded use of VMware-based apps running in Oracle Cloud Infrastructure. Get Enterprise Apps into the Cloud Quickly  To help organizations succeed, Oracle has specialized field-tested tools and programs to help companies move enterprise applications like Oracle E-Business Suite, JD Edwards, PeopleSoft, and Siebel to Oracle Cloud Infrastructure.  Oracle provides an easy, cost-effective way to move business-critical Oracle Applications to the cloud. Exceptional Performance and Granular Control Oracle’s next-generation cloud infrastructure offers powerful CPU options, massive memory capabilities, and dense storage capacity. To run enterprise applications, high-performance computing (HPC), transactional database applications, and real-time analytics, it demands peak levels of performance and predictability. Oracle Cloud helps organizations run traditional enterprise apps along with cloud native apps, all on the same platform. This reduces operational overhead and enables direct connectivity between both types of workloads. Service-Level Guarantees  Companies expect service-level commitments for uptime so that applications are available, manageable, and performing as expected. This should be guaranteed regardless of where that application may be located.  Oracle backs its cloud offering with service-level agreements (SLAs) for performance, availability, and manageability.    Focus on Your Business, Not on the IT underpinnings Oracle provides a solution for migrating and run Oracle applications in the cloud. It provides the tools to migrate, as well as ways to move traditional data center applications to the cloud – with no architecture changes.  Oracle Cloud Infrastructure combines the benefits of public cloud (self-service, on-demand availability, and scalability) with the advantages usually associated with on-premises environments (predictability, performance, and control). Get started with Oracle Cloud or to learn more about the major benefits of moving to Oracle Cloud, read the latest e-book that provides more details on Oracle Cloud Infrastructure.

Migrating to the public cloud for any organization that has been running workloads on-premises can be very intimidating. Some enterprise applications and legacy infrastructure still remain...

Business Analytics

4 Reasons Why Augmented Analytics is the Future of Business Intelligence

Augmented analytics is the newest way to think about data and analytics.  It’s the combination of two technologies – analytics and AI.  It includes embedding artificial intelligence (AI), often in the form of machine learning (ML) and natural language processing (NLP), into traditional analytics. It’s considerably different from traditional analytics or business intelligence (BI) tools because ML technologies are always working behind the scenes to continuously learn and enhance results.  Specifically, augmented analytics enables faster access to insights derived from massive amounts of structured and unstructured data to provide ML -based recommendations. This intelligence helps uncover hidden patterns and deviations in the data, removes human bias, and enables predictive capabilities to inform an organization of what to do next. Let’s take a closer look at the top four reasons organizations are adopting augmented analytics to deal with the growing volume of unstructured and structured data. Democratization of data. Augmented analytics enables data to be available to everyone. Augmented analytics solutions come prebuilt with models and algorithms so that companies don’t need data scientists or IT to do this work. These models are out-of-the-box with user-friendly interfaces so that business users and executives can easily use the tools.   Faster decision-making. Augmented analytics will recommend which datasets to include in analyses, alert users when datasets are updated, and suggest new datasets if users are not getting the results expected. All users receive accurate forecasts and predictions based on historical data in just one click.  Automated recommendations. Augmented analytics platforms feature NLP which allows nontechnical users to easily ask questions from source data. Natural language generation (NLG) then automates the process of translating complex data into text with intelligent recommendations, thereby accelerating analytic insights. By using automated recommendations for data enrichment and visualization, anyone can quickly uncover unseen patterns and predict trends to optimize the time it takes to go from data to insights to decisions. NLP technology also helps drive the ability for nonexpert users to make sense of large amounts of data. Users can ask questions of the data using standard business terminology. The software will find and query the right data that make the results easy to digest using visualization tools or natural language output. Augmented analytics help all data-demanding users of analytics including analysts, IT professionals, executives, and all lines of business.     Become a true data-driven company. While organizations are rapidly adjusting to change, the significance of understanding data and business is more critical than ever.  In this era of big data, analytics has become vital to doing everything from understanding sales trends, to segmenting customers based on their online behaviors, and predicting how much inventory to hold.  Data is a notable asset, but analytics is what makes data valuable.    Discover Oracle Analytics Cloud for Augmented Analytics          Oracle Analytics uses embedded machine learning and artificial intelligence to analyze data, helping any organization and individual make strategic actionable decisions.  Augmented analytics allow companies to combine data from across any organization with third-party data and automate important and time-consuming tasks like data preparation, visualization, forecasting, and reporting.  Augmented analytics with machine learning is embedded throughout the Oracle Analytics platform making the analysis of data smarter and more accurate.  Technology is automated and enhanced to gain faster and smarter insights on all data visualizations, enterprise reporting, scenario modeling, and mobile analytics.    Power your Data with AI With the right analytics solution, it can help drive change and provide business specific insights that offer distinct advantages. Traditional analytics solutions will take a business only so far when attempting to make use of data. As structured and unstructured data continues to increase, businesses aim to perform more intelligent decisions than choosing to operate on anecdotal evidence and limited data. The most effective organizations are taking steps to stay ahead by using data to address challenges related to customers, operations, and all lines of business. Many organizations are looking to quickly adopt augmented analytics solutions to remove the barriers of becoming data-driven. By using augmented analytics, every business can gain deep insights from data to make better decisions without requiring hand-holding from data or IT professionals.    Learn how the right cloud solution can work for your entire business. Read more about augmented analytics in this e-book and the new possibilities it can bring for your organization.      

Augmented analytics is the newest way to think about data and analytics.  It’s the combination of two technologies – analytics and AI.  It includes embedding artificial intelligence (AI), often in the...

Business Analytics

Converged Database - Turn Data into Actionable Insights

The invention of the telephone in 1876 made an immense impact on human communication, paving the way for an explosion of inventions and business opportunities. In the late 1970s, the dawn of the personal computer ushered an even more intimate connection with technology. The Internet became the ultimate technological disruptor in 1991, as it enabled easy communication around the globe and personalized content delivery. Now, let’s fast-forward to 2007, when the iPhone allowed us to carry our computer in our pocket and engage with technology anytime, anywhere. Since then, technological disruption has been the norm, not the exception, driven in large part by advances in Artificial Intelligence (AI) and machine learning. The rise of these technologies promotes technological progress, but on the other hand can bring complexities to data management and application development. New technologies and application development complexity The rise of new technologies such as graph analytics, machine learning, Internet of Things, spatial processing, blockchain, and real time analytics is dramatically complicating modern application development. These new technologies require specialized knowledge and understanding for developers. “Additionally, building an app that takes advantage of these technologies requires specialized teams to deploy single-purpose databases for each technology and implement distributed execution and data movement across them,” says Oracle’s EVP Juan Loaiza. This leads to data being fragmented across different databases with no direct way to integrate data between them.  Oracle introduced a new concept of a converged database, which is a database that has native support for all modern data types  (JSON, Spatial, Graph, as well as relational) and workloads (IoT, Blockchain, Machine Learning, etc.). It includes the latest development paradigms (Microservice, Events, REST, SaaS, CI/CD, etc.) within a single product that can efficiently run in the same database. This eliminates the need to deploy, manage, and synchronize specialized databases in order to use these technologies. A good analogy is the smart phone. Not too long ago, music required iPods, pictures required cameras, and phone calls required a phone. The smart phone converged all these products into one, delivering a cohesive and simplified solution that improved our quality of life. The same ease of use, efficiency, and convenience can be applied to Oracle’s converged database.  Watch the video below where Oracle’s EVP Juan Loaiza explains the benefits of a converged database. Turning data into information More and more organizations agree that data is the most important asset to their business. Data drives decision making, defines competitiveness, and improves efficiency. However, when not managed properly, it can become detrimental to achieving business goals. IT leaders understand that it is essential to turn data into information, and the faster it can be done the more important it becomes for their business. Let me give you an example. The image below shows data. Is it useful to you? When left alone, data represents nothing more than text and numbers. However, when dissected and analyzed, that same data turns into crucial information. The map above displays information from an open data set which includes information of regional hospitals by each state in the United States. Using Oracle’s converged database platform, we’re able to transform that data into valuable insights. Demo - Oracle Database Converged Platform used with open data (COVID-19) In his live demo, Oracle’s expert of strategy and innovation, Eugenio Galiano, shows how to turn data into information. Using Oracle’s converged database, he showcases multiple ways in which you can leverage a single dataset. He’s able to use spatial and graph to map graphically, analyze cases, map predictive cases, and analyze hot zones in the country. In addition, he creates a healthcare test tracking application, machine learning prediction models, and a tracking application. The demo shows how to manage different data types, database deployment methods and development languages – all with the Oracle converged platform. Conclusion Game changing technologies of the past such as the phone, computer and the internet fundamentally changed lives. These technologies set a rapid course to new opportunities and innovations. Oracle converged database makes development and operations more efficient by integrating multiple specialized databases in one database. And, of course, it eliminates the burden of operating databases with Oracle Autonomous Database – the only database that uses machine learning to offer unprecedented availability, high performance, and security. To learn more about converged databases, read “Conquering the Complexity of Modern Application Development” blog and listen to the “Turn Data into Information” webcast.

The invention of the telephone in 1876 made an immense impact on human communication, paving the way for an explosion of inventions and business opportunities. In the late 1970s, the dawn of the...

Data Management

Why Run Your Critical Databases in Oracle Cloud?

Data has been created at an exponential rate and it has become a kind of capital for modern enterprises. Data has a lot of potential to transform businesses by driving new opportunities, growing revenue, and creating new markets. However, if it is not properly managed it can bring massive challenges such as data breaches that can damage a company’s reputation, or interruption of service that can lead to customer issues. With a well-executed data management strategy, organizations can gain a competitive advantage by improving operational effectiveness, and enabling better decision-making. Integrated Data Management Today’s organizations need a data management solution that provides an efficient way to manage data across a diverse but unified data tier. Data management systems are built on data management platforms and can include databases, data lakes and warehouses, big data management systems, data analytics, and more. A data management platform is the foundational system for collecting and analyzing large volumes of data across an organization. Oracle offers the most complete data management portfolio for any enterprise workload and is the only company building intelligent solutions at every level. It’s a completely integrated solution with data warehouse, integration, ETL, data lake, data science and analytics services. Enterprises can perform the following activities: ingest any data (e.g. batch, streaming or real-time), store data in a warehouse or data lakes, catalog and govern, visualize and analyze. With an integrated solution, enterprises can leverage security policies across the data warehouse and data lake making it possible to query the data lake securely from the data warehouse. By having built-in support for multi-model data and multiple workloads (e.g. analytical SQL, machine learning, graph, and spatial) in a single database instance, it eliminates the complexity and administration often required with other cloud providers. Autonomous Advantage for Data Management Automation is critical to every business trying to improve upon, act, and learn from the data within any organization. For many businesses, AI and ML are embedded within their hardware infrastructure, software platforms, and fundamental business processes. Oracle is at the forefront for driving autonomous technologies forward, reducing operational costs by up to 90% with a multi-model converged database and machine learning based automation for full lifecycle management. With Oracle Autonomous Database, it eliminates management complexity. It automates provisioning, configuring, securing, tuning, scaling, backing-up, and repairing data warehouses.  Oracle Autonomous Database is the only solution that auto-scales elastically and provides complete data security. With autonomous capabilities, it helps IT improve efficiencies by lowering operating costs, eliminating costly downtime, and enabling teams to innovate more while using fewer resources. Oracle Autonomous Database is available in two offerings: Oracle Autonomous Data Warehouse – optimized for analytical processing. It intelligently automates provisioning, configuring, securing, tuning, and scaling. It allows you to run a high-performance, highly available, and secure data warehouse, all while reducing costs. Follow this getting started guide to Oracle Autonomous Data Warehouse and learn all the benefits that it can bring to your business. Oracle Autonomous Transaction Processing – designed for high performance databases, mixed workloads and OLTP. This service includes all of Oracle’s advanced database options, such as real application clusters (RAC), multitenant, partitioning, in-memory, advanced security, and advanced compression. The service is built to support everything from simple web apps to large and sophisticated applications that are critical for business operations. Explore these videos to learn how to deploy the Autonomous Transaction Processing service for shared and dedicated infrastructure. Cloud Security for the Entire Lifecycle of Data As cyber-attacks become more frequent and sophisticated, it is critical for businesses to ensure the resilience of their data and systems. Yet due to a significant shortage of cybersecurity expertise, it’s difficult to find enough security operations professionals to protect these systems. Autonomous technologies allow you to discover data breaches more quickly and often avert them entirely. Oracle Autonomous Database leverages both the Oracle Maximum Security Architecture (MSA) and Oracle operations best practices. Oracle MSA combines advanced technologies, best practices and autonomous functions to proactively protect against common attack vectors, and free up scarce security resources to focus on higher-value activity. Self-securing capabilities include encryption, access control, automated patching, and auditing. This collection of self-securing capabilities offered by the Oracle Autonomous Database is unmatched by any other cloud (or on-premises) database in the industry. A key feature that is included with the Autonomous Database, or Oracle Database Cloud Service is Oracle Data Safe.  Data Safe is a data security cloud service that provides a comprehensive suite of security capabilities, including sensitive data discovery. It helps you identify sensitive data and mask it, flag risky users and system configurations, and monitor database activity to quickly discover suspicious attempts to access data - all in a single, unified database security control center. Watch this video to discover how Oracle Data Safe can help you manage the security of your data in the cloud. Migrate Your Database Seamlessly to Oracle Cloud Organizations are looking to scale fast, reduce costs, increase productivity, and secure their data.  For most organizations, it’s not the question “if” they need to move to the cloud; it’s “how can we move and how fast.” Oracle offers many ways for organizations to migrate their on-premises databases to Oracle Cloud using a number of different methods and tools. The method that applies to a particular scenario depends on several factors, including the version, the character set, and platform endian format of the source and target databases. Oracle offers a simple advisor that recommends the optimal migration solution based on the selection of the target and source database deployments. Additionally, Oracle automated tools make it seamless, flexible, and cost-effective to move a database to Oracle Cloud. A well-defined set of tools offers the flexibility to choose the method that best applies and find the most cost-effective solution for the migration. The tight integration of all migration tools with the Oracle Database provides control and efficiency when moving databases into the Oracle Cloud. The Maximum Availability Architecture approved tools as well as Oracle’s Zero Downtime Migration based migration ensure the migration. The Zero Downtime Migration Service is a quick and easy way to move from on-premises to Oracle Cloud Infrastructure. Zero Downtime Migration leverages Oracle Active Data Guard to create a standby instance of a database in Oracle Cloud Infrastructure. It provides the capability to switch over only when ready, and the source database remains available as a standby. See how an Oracle expert handle can everything for you. Learn about Oracle Database Cloud Migration here. Get started today Oracle is the only company delivering a complete and integrated set of cloud services and providing intelligent solutions at every level. Sign up for the Oracle Cloud Free Tier to discover the many advantages of moving critical databases to Oracle Cloud and learn what sets us apart from other providers. For more information on running a critical database in the cloud, read our e-book here.  

Data has been created at an exponential rate and it has become a kind of capital for modern enterprises. Data has a lot of potential to transform businesses by driving new opportunities, growing...

Business Analytics

Insights to Action: A Finance Leaders Guide

As a finance leader, the significance of understanding your data and business is more critical than ever.   There are daily challenges you may encounter including report accuracy, formulas errors, changes required for viewing a processed report, and most importantly how to leverage all that data to make faster decisions.  In order for a financial professional to focus less on transactional tasks, and enable insights that guide decision-making, you need to acknowledge the demand for improved analytics.  Let’s consider the most useful resource for your finance team.  Everyday your team is busy extracting data, manually blending and analyzing the numbers, and seeking insights. Data can come from everywhere - not just one system such as your ERP or EPM systems.  It can be sourced from various departments, third-party information, Internet of Things (IoT) applications, and numerous other resources within your business. Therefore, the process of uncovering insights across these systems without the right tools can get complicated. It may involve various obstacles from siloed applications and inaccurate reporting. Ultimately, it’s no surprise finance departments are challenged by a series of issues of disconnected data systems and spend a great deal of time on transactional work with their present complex legacy systems. This can create internal friction and a backlog of requests. It also delays you from delivering deeper insights into the numbers and unraveling the stories beneath, predicting scenarios, and potentially changing the outcomes.   How can data and an analytics platform help?  With data and analytics solutions that are designed with the users’ needs in mind, you can easily make more insightful decisions. It takes tools that inspire confidence to answer complex questions. While many finance leaders intend to advance their analytics, most are still focused on getting the technology future-proof. Oracle Cloud enables finance leaders to accelerate their digital transformation. With the combination of  Oracle Cloud Infrastructure (OCI), a next-generation cloud, Oracle Autonomous Database and Oracle Analytics, it offers you and your team a complete suite of tools needed to conduct an analysis. This makes it possible to quickly improve your analysis while reducing cost and complexity. Oracle provides an enterprise data and analytics solution - direct access to operational data in Autonomous Data Warehouse, budget and forecast data in EPM cloud and management in formation in Essbase.  All steps in your data workflow are optimized, so you can connect to internal and external data sources without depending on IT.  The built-in capabilities like machine learning (ML) analytics tools, help to accelerate model building without having team members with a PhD in data science.   The proper technology is pivotal to make sense of your financial reporting. With Oracle Cloud, we provide an integrated solution for Analytics Cloud powered by Oracle Autonomous Data Warehouse for cloud-native applications and enterprise analytics. It offers best-practice key performance indicators (KPIs) and actionable insights driven by advanced analytics.  This solution streamlines data processing so business analysts can gain insight into how to improve the business through best practice content and deep historical analysis across data from multiple sources.  Oracle Analytics can help you improve your data accuracy with a unified view of data, metrics, and insights.  Data is consolidated into a single source of truth, resulting in trustworthy analytics and results. Finance teams can automatically find trends in the data, perform root cause analysis, and model “what if” scenarios.  Oracle’s data and analytics solution facilities real-time insights on any device (including mobile), and allows new projects to start within hours to address impromptu needs.     It’s critical to find a cloud platform solution that not only helps your fi­nance department read between the numbers, but one that enables your peers to find insights within the data across IT, human resources, marketing, and sales. Discover how the right cloud solution can work for your entire business. Find out more on how you can take control of your data and analytics, read our e-book Read Between the Numbers – A finance leader’s guide to go from insights to action  

As a finance leader, the significance of understanding your data and business is more critical than ever.   There are daily challenges you may encounter including report accuracy, formulas errors,...

Data Management

The CIO’s Guide: Driving Value to Vision

Today’s data-driven age is all about harnessing the power of emerging technologies and cloud capabilities to drive digital disruption for businesses. With the rapidly changing landscape of cloud technologies, it’s up to CIOs to guide the alliance between business and IT by executing digital strategies that deliver real business value to both teams. The fierce competition and heightened pace of innovation demand more agility from companies to prepare for disruption and champion it for success. In this e-book, Oracle explores the future of the CIO and how to navigate the digital unknown to drive value from vision. See data in new ways Organizations can get the most out of data by using cloud technologies to unlock limitless possibilities for insight. Today, businesses can leverage a mix of IT solutions - traditional, cloud, and edge computing - while embracing emerging technologies like automation, artificial intelligent (AI), the Internet of Things (IoT), and machine learning (ML). When applied, these solutions can place analytics directly in the hands of business users while dramatically reducing human effort. With Oracle Cloud, we provide an ecosystem of analytics with built-in intelligence. Whether you’re streamlining analytics reports, integrating it with business applications, or curating function-specific insights – it simplifies  processes to enable insight to action for business leaders. Champion innovation In a cloud-enabled world, there is growing importance of leveraging intelligent automation to cut administration costs. Organizations can focus on higher-value tasks such as identifying new revenue streams, spotting trends, and developing new applications. Cloud technologies enable teams to run the latest technologies like containers, microservices, serverless databases, and digital assistants. In addition, they provide a unified platform and networking fabric to make development seamless. Intelligent automation enables IT to move existing applications to the cloud without rearchitecting them, while preserving existing investments. Ultimately, business leaders can deliver more timely, actionable insights to stakeholders, enhance customer experiences, and unlock new business perceptions - all while improving operational efficiency. Reduce expenditures A core function of the CIO is building profitability while investing in new technologies that foster growth. Artificial intelligence, special provisioning and serverless functions are key tools in driving innovation. However, the costs of those capabilities can add up. In order to ensure a cost-effective investment, businesses need an advanced cloud platform that can support data security, productivity and innovation. It also means having a simple licensing model to reduce the cost and complexity of owning and operating an on-premises infrastructure. Meanwhile, cloud technologies can automate key database functions and accelerate IT delivery for specific initiatives. Businesses can even simulate benefits of proposed optimizations before implementation to drive better decision-making. Safeguard data As cloud adoption continues to rise, cybersecurity will continue to be a primary challenge amongst C-suite leaders. With more data, devices, and applications being used across businesses, the level of risk compounds. In order to protect critical workloads when migrating to the cloud, organizations will need a solution that leverages intelligent automation and sophisticated analytics to protect against advancing threats. This includes 24/7 security management to safeguard customer data and controls within the application and database layers that work with hardened infrastructure security features. It’s up to business leaders to convince stakeholders that data is safe across all web application hosting environments - on-premises, cloud, hybrid, and multi-cloud. This will be critical for IT to avoid spending excessive time and resources battling daily security breaches. Oracle’s Next-Generation Cloud Infrastructure Built from the ground up to meet the needs of mission-critical applications, only Oracle’s next-generation cloud infrastructure is built to run the first-ever self-repairing, self-tuning, self-driving Oracle Autonomous Database and advanced analytics capabilities of Oracle Analytics Cloud. Move your on-premises database to the Oracle Cloud with virtually no downtime and leverage automated tools that eliminate complexity, human error, and manual management. We offer unique architecture and capabilities that: Support all legacy workloads while delivering modern cloud development tools Offer open-source options so there’s no modification, trade-offs, or lock-in Deliver unmatched security, performance, and savings via embedded artificial intelligence and machine learning Provide industry-leading price performance with pay-as-you-go predictability Feature comprehensive, open, secure, intelligent, and integrated cloud layer As the future poses new challenges for today’s business leaders, it’s critical that companies have a reliable and comprehensive solution that can prepare them for digital disruption. Oracle is dedicated to providing customers with the right tools and capabilities that can execute initiatives and drive outcomes across the business.  To learn more about Oracle Cloud Infrastructure, click here. Or, try our cloud free.    

Today’s data-driven age is all about harnessing the power of emerging technologies and cloud capabilities to drive digital disruption for businesses. With the rapidly changing landscape of cloud techno...

Business Analytics

How People Analytics is Driving Performance Improvement

For any company, data provides a powerful gateway for uncovering critical information and deep insights. In the realm of human resources (HR), analytical technologies drive the intersection between people and data to deliver better efficiencies and strategic decision-making. Whether you’re dealing with recruitment, budget, employee satisfaction   data analytics is a central tool that can improve performance across all areas of your business. In this e-book, Oracle explores the concept of people analytics and how it’s driving new possibilities for HR leaders. Connecting all the dots With so many moving parts in a workforce, it’s important that HR leaders can leverage complete sets of data including third-party, external, and internal sources. However, this practice is more rare than frequent, as only 8 percent of companies claim to have usable workforce data. HR departments often rely on IT to gain access to employee information and use outdated systems like spreadsheets to analyze that data. To avoid cluttered data that risks producing inaccurate insights, companies need an analytics cloud solution that can aggregate and blend information to form a single source of truth. Workforce analytics enable greater visibility into the company that can be leveraged for hiring, engagement, and development initiatives. HR leaders can uncover hidden patterns with augmented analytics enabled by machine learning, while reducing security risks associated with manual data management such as spreadsheets. Making decisions faster As important as it is to having the ability to gain business insights, is the capabilities to do so quickly and effectively. As HR departments cover a range of initiatives, from employee satisfaction to budget optimization, it’s critical that they have a robust data and analytics solution that can help forecast workforce needs while aligning them with big-picture goals. With artificial intelligence, your department can optimize processes and better anticipate workforce trends. Cloud solutions also allow organizations to become more agile - enabling them to quickly respond to new insights and apply changes to business strategy that improve employee performance. Using insights more easily In order for HR leaders to optimally leverage new analytical tools, they need a solution that’s simple and easy-to-use. With a cloud-based analytics tool, it provides a self-service platform where employees can access information and run analytics initiatives using visualizations, interactive reports, and dashboards - all with minimal IT support. Employees can analyze HR data in real-time with advanced reporting tools, and access mobile analytics through any device. Oracle Autonomous Database and Oracle Analytics Cloud Oracle Autonomous Database and Oracle Analytics run on the Oracle Cloud - a next-generation cloud infrastructure that delivers high-performance computing power for running cloud native and enterprise workloads. Oracle Analytics uses built-in machine learning and artificial intelligence to analyze data across your organization and discover unique insights faster. By combining autonomy with analytics, HR leaders can quantify and predict outcomes, understand recruitment channels, and review employee decisions through a secure and reliable platform. As the cloud introduces new opportunities for organizations, it’s up to business leaders to effectively leverage these next-gen tools and drive greater performance across the company. To learn more, read this e-book. Or, visit Oracle Analytics Cloud.    

For any company, data provides a powerful gateway for uncovering critical information and deep insights. In the realm of human resources (HR), analytical technologies drive the intersection between...

Data Management

What is a Data Management Platform?

The Demands of the Future As more customer data accumulates, finding the right data management platform becomes an essential task for any organization whether big or small. Analysts predict by 2025 there will be at least one data interaction every 18 seconds. In addition, the growth in connected IoT devices is expected to generate 79.4ZB of data across 41.6 billion IoT devices, according to a new IDC Forecast. As organizations find their way through analyzing the data, it will become critical to have a data management that can help solve the challenge of collecting, managing, and analyzing data from many different sources. Data management systems are built on data management platforms. It can include the combination of technologies such as databases, data lakes, data warehouses, big data management systems, and data analytics. Unfortunately, most of the current platforms still require manual intervention to manage the data across systems. This can lead to challenges such as mismanagement, human error, and eventually increased costs. What if you had a different way of approaching your data management strategy? Oracle’s Solution Oracle offers the most complete data management portfolio for any enterprise workload. You can build a complete database platform with a few simple clicks. This improved automated process for database implementation eliminates the need to provision, build, and manage manual complexities of in-house databases and storage systems. Oracle allows you to choose from many deployment options such as on-premises, Cloud@Customer, and public cloud. With Oracle data management services, you can build highly scalable applications while supporting all data types including relational, graph, and structured or unstructured nonrelational. Autonomous Technology Oracle Autonomous Database is an all-in-one cloud database solution that uses machine learning to provide enterprise-level scalability, security, performance, and automation.  It is built on next-generation cloud infrastructure to automate many manual database tasks so your business can react faster to market trends and customer demands. Autonomous database is available in two unique offerings: Oracle Autonomous Data Warehouse - gives you an easier way to store, access, and manage your analytics data. You can deploy an autonomous data warehouse in minutes and access cloud-based business intelligence and data integration services. Oracle Autonomous Transaction Processing – designed for high-performance databases, mixed workloads and OLTP workloads. Oracle Autonomous Database automates patching, upgrades, and tuning while the database system is still running. It helps to avoid manual error-prone tasks. Oracle Autonomous Database is self-driving, self-securing, and self-repairing. Manually managed databases simply cannot compete. Oracle Analytics Oracle Analytics Cloud is a complete Oracle offering for all types of analytics—from governed to self-service. It includes artificial intelligence capabilities for data preparation, visualization, enterprise reporting, augmented analysis, and natural language processing. The embedded machine learning technology helps accelerate data discovery and preparation, while enabling predictive analytics to discover unique insights faster. Additionally, with Oracle’s self-service analytics capabilities, you can build interactive visual stories, share them with your peers, and collaborate with your colleagues. You can expand from one user to hundreds of thousands without having to build a technology stack, or provision onsite infrastructure. It allows you to blend personal and external data sources as well as create data visualizations that reveal a complete view of business activities. Oracle analytics app, Day by Day can infuse data-driven insights into your daily activities. The app is personalized to each user and it is proactively delivering new insights based on the context (time, location, caller, and other variables). It is easy to collaborate with other team members via one-click sharing of data and insights. With Oracle Analytics Cloud you can: Improve analytic agility Discover patterns in your data Present insights through stories Automate discovery with embedded machine learning Oracle’s Data Lake Offerings Unlike data warehouses where data is usually structured, data lakes is a place to store your structured and unstructured big data from nearly any source. A few examples of data formats include social, audio, email, videos, and images. The primary goal of a data lake is to allow all of the data to exist in a single repository. By unifying multiple sources into a single source, it allows users to have access to all types of data across the business without connecting to individual data warehouses. This consolidation makes discovery and analytics easier all while saving time and money. For a data lake to be effective, an organization must examine its specific needs, workflows, and tools. Oracle offers object storage and Hadoop-based data lakes for persistence, Spark for processing, and analysis through Oracle Cloud SQL. With data lakes from Oracle, you can deploy a complete and integrated solution. Data management, data integration, and data science solutions can be combined together to maximize the value of your data. Additionally, you can increase developer productivity with a fully managed, serverless, Apache Spark cluster that is accessible via APIs. Oracle provides choice of deployment - Oracle public cloud, or in customer data center as part of an Oracle Cloud@Customer environment. Conclusion Oracle embeds artificial intelligence across all its applications to enable new intelligent experiences. Oracle’s complete, integrated data management platform includes intelligent solutions empowering you to create intelligent data warehouses and data lakes for better analytics. Oracle extends machine learning into Oracle Autonomous Database-the world’s only self-driving database. It is all deployed on the next-generation cloud infrastructure. Oracle is the only company delivering a complete and integrated set of cloud services and the only company building intelligent solutions at every layer. For more information, read our e-book. Learn how our data and analytics solutions are transforming the enterprise. Try Oracle Cloud Free Tier, sign up for a free trial of Oracle Autonomous Analytics, build and populate a data lake.         

The Demands of the Future As more customer data accumulates, finding the right data management platform becomes an essential task for any organization whether big or small. Analysts predict by 2025 there ...

Data Management

How IT Leaders Can Benefit from Autonomous Technology

Does your IT organization spend too much time and money performing manual, labor-intensive tasks managing your operations? If the answer is a definitive “Yes,” it’s time to reconsider. Manual tasks not only prevent IT from pursuing innovation but can also result in human errors which can have unfavorable effects on uptime, performance, and security. Now more than ever, enterprises understand that adopting data science and machine learning technologies is crucial for improving business productivity. With Oracle Cloud, we’re offering a complete set of autonomous services that can help you and your team focus more on driving your business forward. Enabling Autonomous Enterprise Oracle Cloud offers the only Autonomous Database helping you and your team avoid countless hours of manual effort. It uses machine learning and artificial intelligence to automate manual tasks such as provisioning, configuring, tuning, scaling, patching, encrypting, and repairing of databases. It includes self-driving capabilities, so your IT team can focus on higher-value tasks that support the business. It is self-securing, so you can protect yourself from attacks. It also provides self-repairing capabilities, so you can keep your business continuously up and running. This level of automation helps your organization lower operational costs. It also reduces risks of a security breach, while enabling auto encryption of data at rest and in motion. These benefits allow you to accelerate innovation by focusing on your business and not on your to-do list. See how Oracle Autonomous Database helps MineSense run more precise operations and grow its business. Transforming your IT operations with the Autonomous Database Oracle Autonomous Database supports mixed workloads, such as data warehouses and online transaction processing. Oracle Autonomous Data Warehouse integrates with Oracle Analytics Cloud to create new data warehouses and models, drive insights, and deliver them faster than ever before. Oracle Autonomous Transaction Processing enables rapid application development and deployment. Supports all operational business systems with 100 times faster mixed workload processing. These benefits allow you to: 1. Focus on data modeling 2. Spearhead security and information lifecycle projects 3. Stay informed on database trends 4. Get involved with agile development 5. Identify new revenue streams through data 6. Try new analytics tools 7. Lead migration and upgrades 8. Work as data architects instead of administrators See how SKY Brazil Transforms Telecom with Oracle Autonomous Database. Comprehensive data and privacy protection Oracle Cloud’s security features automate encryption, adaptive authentication, visibility into application usage, and automation to detect anomalies. This ensures your data is safe at every level. In addition, customers can leverage Oracle Data Safe which provides a security service to detect gaps in your defense posture, give visibility into security issues with data, users, and applications, and provide recommendations on how to contain security risks.  Improving your IT plans With every company becoming an insights-driven company, IT is managing almost everything. Outside of daily system maintenance, your team is translating the needs of business experts to those in outsourced IT. On a daily basis, you’re also delivering data analysis for multiple lines of business—including finance, marketing, sales, and HR—and implementing reporting systems for each department. So how do you navigate it all? Oracle has created the concept of a modern data warehouse—a single solution that provides a broad set of services for a self-driving data warehouse, integration, data lake, data science, and analytics services to enable organizations to innovate and get the most value from their data. These services include: Autonomous Data Warehouse as your data warehouse Oracle Cloud Infrastructure Data Integration for data prep and integration needs Oracle Cloud Infrastructure Object Storage or Oracle Big Data Service as your data lake Oracle Analytics Cloud for analytics Oracle Cloud Infrastructure Data Science and Oracle Machine Learning as your data science services of choice The core of the modern data warehouse and what makes it truly modern is the Oracle Autonomous Database built on Oracle’s next-generation cloud infrastructure. It delivers  a solution to concentrate on your core business, worry less about day-to-day operations, and create opportunities for innovation. With Autonomous Database cutting down on your administration costs, you can refocus your time and talent on what’s ahead. For more information on how IT leaders move from administration to innovation, read our e-book here. Or, visit https://www.oracle.com/cloud/ and https://www.oracle.com/autonomous-database/. You can build, test, and deploy applications for free by signing up for the Oracle Cloud Free Tier            

Does your IT organization spend too much time and money performing manual, labor-intensive tasks managing your operations? If the answer is a definitive “Yes,” it’s time to reconsider. Manual tasks...

Business Analytics

How to Improve Your Data Management Strategy

Data is an organization’s most valuable asset.  Market leaders in every industry depend on analytics to reach new customers, streamline business processes, and gain a competitive edge.  Data warehouses remain at the heart of these business intelligence (BI) initiatives, but traditional data warehouse projects are complex undertakings that take months or even years to deliver results.  Relying on a cloud provider accelerates the process of provisioning data warehouse infrastructure, but in most cases database administrators (DBAs) still have to install and manage the database platform. It often includes working with the line-of-business leaders to build the data model and analytics. Once the warehouse is deployed—either on premise or in the cloud—they face an endless cycle of tuning, securing, scaling, and maintaining these analytic assets. Data visualization is necessary to making data-driven decisions and maximizing the value of your data.  So how do you take control of your data and find answers to questions about past scenarios and patterns, while predicting future events? Oracle Autonomous Data Warehouse Oracle Autonomous Data Warehouse represents a game-changing category of data-management cloud—an easier way to store, manage data, and access your analytics quickly.  Oracle Autonomous Database is self-driving, self-securing, self-repairing, and designed to eliminate the manual, error-prone management processes. You can deploy a data warehouse in the cloud in minutes. Provisioning, patching, updating, backing up, tuning, and applying security patches are all taken care of while the system is running, giving DBAs more time to focus on obtaining insights, architecting new applications, and solidifying security. Simplify IT and Unleash New Business Opportunities in the Cloud Oracle offers a complete path to the cloud that encompasses integrated IaaS, PaaS, and SaaS solutions. With Oracle Cloud, it provides a complete data ecosystem in which a broad set of related cloud services work together automatically—and in many cases, autonomously. Machine learning and AI help IT to eliminate downtime, spot performance anomalies, identify security risks, and automate troubleshooting activities. In addition, all Oracle Cloud solutions allow for flexible deployment models, enabling you to seamlessly migrate your IT workloads from an on-premise data center to the cloud, and back again.  For on-premises requirements, Oracle Cloud Infrastructure is available on the new Dedicated Region Cloud@Customer–behind your private firewall and in your data center.  New Levels of Automation With Oracle’s Autonomous Database enables a data warehouse to provide a simple load-and go process. Users can simply specify tables, load data, and then run their workloads. There is no manual configuration or tuning needed.  Both computing and storage capacity are instantly elastic, meaning you can expand or shrink computing and storage resources independently, with no downtime. Autonomous Database for Data Warehouse requires minimal administration. A data warehouse can be created in a matter of minutes. Since it is preconfigured for automated patches and upgrades, your organization can reduce manual, error-prone management processes that characterize traditional data-warehouse implementations. The database detects available patches and automatically applies them, without human intervention.  Data Warehousing Made Easy When it comes to data warehousing, Oracle has the answer. Instead of having constraints in securing, maintaining, and tuning data warehouses - organizations are turning to the world’s first fully autonomous data warehouse. You can simplify your IT infrastructure and minimize capital investments by utilizing Oracle Cloud services for your infrastructure, data management, applications, and business intelligence. Autonomous operations supported by service-level agreement (SLA) guarantees provide further incentive to migrate IT operations to the cloud. Discover how the right cloud solution can work for your entire business. Find out more on how you can take control of your data and analytics by reading our e-book The Smarter Way to Manage Data  

Data is an organization’s most valuable asset.  Market leaders in every industry depend on analytics to reach new customers, streamline business processes, and gain a competitive edge.  Data...

Data Management

Oracle Cloud Infrastructure: A Next Generation Cloud Design

The standard workplace has evolved over the past decade. With current events, the workplace has continued to adapt and re-invent itself more quickly than ever before.  It is now essential for companies to continuously discover improved ways to conduct their business and thrive in the new normal. In order to do so, they need a cloud infrastructure that delivers high-performance computing power to run cloud native and enterprise IT workloads. Oracle Cloud Infrastructure (OCI), is a next-generation cloud which enables you to run complex and demanding workloads at scale. It offers you control over costs, governance, and security while delivering complete automation. Let’s take a closer look at some of the key advantages and integrated platform services offered with Oracle Cloud Infrastructure (OCI). Enabling the Autonomous Enterprise Autonomous systems are self-governing, which means they can carry out multiple automated sequences without human initiation or intervention. The AI and machine learning (ML) capabilities of Oracle Cloud work behind the scenes, all of the time, to keep your information systems running optimally. And best of all, you can take advantage of these sophisticated cloud capabilities without having to develop advanced skills. Our next-generation cloud infrastructure serves as the foundational infrastructure for Oracle Autonomous Database. Oracle Autonomous Database automates all routine tasks: patching, backups, scalability, and tuning. This level of database automation reduces human error and reduces risks. It provides self-security capabilities and lowers costs with auto-scaling capabilities. Secure by Design Cloud technologies such as AI and the Internet of Things (IoT) enable organizations to drive innovation and reduce costs. However, these innovations can expand the threat landscape and the potential for increased risks. Oracle has been building security into its solutions and protecting customers’ sensitive data for decades. It’s focused on automation and reducing the complexity of operating securely in the cloud. Oracle Security pursues a layered, security-first approach; one that begins with securing the core data repositories, followed by layered controls within the application ecosystem to detect and prevent attacks.  Integrated Cloud Services Oracle Integration provides intelligent automation and integration to enable your digital transformation. Businesses can leverage Oracle Integration platform to easily integrate applications such as Oracle ERP Cloud, Oracle Engagement Cloud, Oracle Marketing Cloud, Oracle E-Business Suite, Siebel, PeopleSoft, JD Edwards—and many non-Oracle applications, including Salesforce, ServiceNow, and SAP. Open Development Environment Oracle offers an open, standards-based application development platform, enabling you to build, deploy, and manage applications.  The platform gives you the ability to use containers, microservices, API-based and serverless architectures, ML, and DevOps processes and tools.  It also boosts developer productivity by embedding integration, automation, and AI tools.  Additionally, it supports all major open-source tools and technologies, as well as modern programming languages such as Java, PHP, Python, Ruby, Node.js, and C#/. NET. Predictive, Data-driven Insights Solving today’s problems has never been more important, as organizations need to be able to analyze all available data, of any size, in any location.  When it comes to analytics, Oracle gives customers a way to connect multiple data sources. Oracle Analytics combines embedded ML and AI to augment and automate the entire analytics process. This changes the way information is collected and processed, providing organizations with faster, self-service access to both data and analytics.  Businesses gain comprehensive business intelligence with augmented analytics to help their organization grow through unique insights.      Try Oracle Cloud Oracle Cloud delivers all the value of first-generation cloud infrastructure while enabling the most demanding workloads and complex systems to move to the Cloud. To find out more about the key benefits of moving to Oracle Cloud, read our e-book on our next-generation cloud.  

The standard workplace has evolved over the past decade. With current events, the workplace has continued to adapt and re-invent itself more quickly than ever before.  It is now essential for...

Data Management

Five Reasons to Move to Oracle Cloud

Cloud technology is rapidly evolving, with new capabilities being brought to market every day. It’s no longer a question of whether or not you should move to the cloud, but rather what cloud innovations best suit your business needs. If you’re thinking about moving your business to Oracle Cloud but are unsure of what’s available to you, here are some of the top benefits: 1. Next-generation cloud and on-premises Infrastructure Oracle’s next-generation cloud is built from the foundation of our first-generation cloud infrastructure, while delivering an intelligent and self-governing solution to enable the most complex and demanding workloads. It provides high performance compute and network performance using the latest generation of hardware for maximum performance. In addition, it offers real-time elastic scalability for cloud native and enterprise application workloads by combining Oracle's autonomous services and integrated security. And, it’s available both in the public cloud and your data centers. 2. Autonomous operations Oracle’s next-generation cloud is built to run the world’s only autonomous database with autonomous services that enable new efficiencies across data management for better performance, security, and lower costs. The Oracle Autonomous Database runs natively on Oracle Cloud Infrastructure while providing workload-optimized cloud services for transaction processing and data warehousing. With the Autonomous Database, it manages tasks such as provisioning, configuring, tuning, scaling, patching, and encrypting of databases. The self-driving system reduces manual tasks and errors, while dramatically increasing system reliability and operational efficiency. Learn how Siemens Mobility reduce costs by 90% compared to on-premises options. 3. Choice of deployment Deploy your cloud applications and databases with a choice of public cloud or on-premises with Oracle Cloud@Customer. Oracle is the only cloud provider that gives you the ability to run all our public cloud infrastructure services, including Autonomous Database, Autonomous Linux, and Autonomous Data Guard, as well as Oracle Fusion SaaS applications in your data center and behind your firewall. 4. Optimized for Oracle workloads We offer unique features and tools to help you migrate and run Oracle’s databases and business apps more efficiently. With minimal changes required, it reduces the cost and time to migrate to cloud. Oracle Cloud Infrastructure offers a diverse services for migration, provisioning, and management for key Oracle apps including Oracle E-Business Suite, PeopleSoft, Siebel, and JD Edwards. Specifically, for Autonomous Database, Oracle Cloud Infrastructure optimizes analytics and transaction processing workloads. It’s purpose-built to run machine learning workloads and deliver AI-based insights. And, it enables customers to connect multiple data sources and bring together key data to support informed business decisions. 5. Better price-performance Oracle Cloud Infrastructure delivers higher performance, consistently lower costs, and easier cloud migrations for your existing on-premises application. We offer a wide range of services, from bare metal, to virtual machines, to completely flexible instances, while guaranteeing both predictable performance and customer isolation. With our flexible instances, you can build your solution just how you need it – choose the specific number of cores and amount of memory you need without having to fit into predefined shapes. See how we compare against AWS for a range of popular workloads. Try Oracle Cloud To discover more reasons to move to Oracle Cloud, read our e-book here. Or, see the difference by signing up for the Oracle Cloud Free Tier. You can also learn about the flexible pricing options or contact your Oracle account team.  

Cloud technology is rapidly evolving, with new capabilities being brought to market every day. It’s no longer a question of whether or not you should move to the cloud, but rather what cloud...

Data Management

Four Benefits of Having a Cloud Experience in Your Data Center

The cloud provides countless benefits for organizations, from improving business agility to enabling self-service capabilities. Yet, many companies are still struggling to make the move to public cloud as businesses find themselves confined by legacy environments and traditional workloads. Many of today’s organizations realize, they need a solution where cloud and on-premises must co-exist. With Oracle Cloud@Customer, it provides a complete portfolio of public cloud infrastructure, fully managed services, and Oracle Fusion SaaS apps into your data center.  In our recent e-book, we explore how this offering is driving new opportunities through four major benefits. Simplify your cloud journey With the growing convergence of on-premises and cloud deployments, Oracle Cloud@Customer helps to simplify multiple workloads from different environments. The complete portfolio of services allow organizations to benefit from the flexibility of developing, deploying, and managing workloads on a single platform. Oracle is the only cloud provider that gives you the ability to run Oracle Cloud in your data center. Oracle Cloud@Customer delivers the highest degree of identicality - meaning you get the exact same hardware, configurations, tools, and software versions as you would on Oracle Cloud for a consistent management experience. Keep your data safe Oracle Cloud@Customer enables you to meet demanding regulatory, data sovereignty, and application latency requirements while using Oracle Cloud in your data center. This provides greater control and governance of your data with standardized operational policies that you can apply to all workloads. It also ensures the same availability and performance SLAs provided in Oracle Cloud Infrastructure. Oracle Cloud Infrastructure includes advanced security automation that’s applied across all layers, while machine learning (ML) helps masks sensitive data in partner or development environments. With always-on encryption and a unified security control center, your administrators are alerted of any suspicious users, configurations, or activities of attempts to access data. Meanwhile, the Autonomous Database delivers self-securing capabilities to patch, upgrade, and tune the database to reduce the opportunity for human error. Empower developers with agility The cloud represents a critical innovation tool for developers and analysts as it simplifies data management and automates maintenance for faster development. Oracle Dedicated Region Cloud@Customer provides a self-service portal or REST APIs to provision Oracle Cloud Infrastructure services, including a fully Autonomous Database in seconds. It also includes services such as Oracle Container Engine for Kubernetes, Oracle Cloud Infrastructure Registry, Oracle Streaming, Oracle Events, and Oracle Functions for cloud native application development. Meanwhile, Oracle Autonomous Database includes Oracle Application Express (APEX), a low-code development framework that lets developers quickly load data, manage objects, and develop REST APIs. Run your applications faster Oracle Cloud@Customer gives you the ability to run existing applications and databases on high-performance cloud infrastructure in your data center. You can run your applications faster and with greater scale using bare metal compute, VMs, GPUs, Autonomous Database, and Exadata Cloud@Customer. It also accelerates your most demanding high performance computing (HPC) workloads using optimized Dedicated Region Cloud@Customer resources. Cloud@Customer Oracle Cloud@Customer combines the benefits of the cloud with an on-premises environment. It removes complexities of moving workloads between environments. It helps organizations modernize workloads while taking advantage of cloud-scale security, resiliency, and scalability for their critical workloads. With the path to cloud becoming a barrier of the past, businesses can now experience the best of both worlds and expand their opportunities for innovation and growth. To learn more, read the e-book here or watch the Cloud@Customer video. Visit https://www.oracle.com/cloud/cloud-at-customer/  

The cloud provides countless benefits for organizations, from improving business agility to enabling self-service capabilities. Yet, many companies are still struggling to make the move to public...

Data Management

Cloud Accelerates with Urgency

New research – Cloud 2020: Cloud Accelerates with Urgency This post was contributed by Fred Kost, Global VP Cross Platform, Security and Analytics With COVID-19 impacting nearly every industry, businesses are finding cloud capabilities to be at the forefront of how they build, run, and adapt to global shifts from this pandemic. Many forward-looking organizations have already begun to standardize on a new generation of cloud services that position them for the future. As explained in a recent Oracle research report, commissioned in collaboration with Longitude, these second-generation clouds are intelligent, self-governing, and powered by AI and machine learning (ML) technology. Second-generation clouds build on the capabilities of first-generation clouds, such as pay-as-you-go pricing and instant elasticity. They have been architected to accommodate a new set of cloud native applications and most importantly offer autonomous capabilities. Oracle’s second-generation cloud can run all your workloads while giving you cloud native options for everything from application development and business analytics to data management, integration, security, AI and blockchain. Each layer of the cloud technology stack—compute, network, storage, database, and apps—has been engineered for the cloud and designed to meet the needs of mission-critical applications. How important is this to today’s organizations? To find out, Longitude surveyed 1,150 senior executives whose firms are at various stages of cloud implementations. The report analysis reflected four key advantages that are motivating organizations to adopt a next generation cloud. Autonomous Operations According to the survey, “cloud leaders”—organizations that consider cloud native as a core part of their strategy—are more than twice as likely to use autonomous technologies and nearly four times as likely to use AI and ML. Oracle’s second-generation cloud is the only one built to run the first and only Autonomous Database. Built with machine learning capabilities, Oracle Autonomous Database automates tasks related to the configuration, tuning, scaling, and patching. It dramatically lowers the cost of running a system, while increasing data security and reliability. Automated Security Once seen as an inhibitor to cloud deployments, security has now become a compelling reason to move to second-generation cloud as a way to exert greater control over your data and systems. Oracle’s cloud security philosophy is simple: focus on your most valuable asset—your data—and build a security strategy that protects data at its source. Oracle’s always-on full encryption, self-securing and self-repairing capabilities help cybersecurity professionals stay ahead of external attacks. Serverless and Elastic – Only Pay for What You Use According to Longitude’s research into cloud usage patterns, the share of applications developed in the cloud is set to double by 2025. Cloud-native strategies have already taken hold at almost a quarter of the firms that participated in the survey, and the trend shows no signs of slowing. To maximize cloud-native deployments, Oracle’s second-generation cloud has been architected to take advantage of the innate scalability of serverless computing. Oracle Cloud is not only serverless, but elastic. If you need to scale from two cores to twenty cores, you can do it instantaneously, while your database and information systems are still running. Next Generation of Cloud - Enabling the Autonomous Enterprise Cloud adoption rates are continuing to accelerate as the global pandemic has shifted how organizations adopt new ways of working - collaborating, and keeping their businesses up and running. Intelligent automated systems are quickly taking hold in many industries, driving shifts in systems design, logistics, manufacturing, infrastructure, and more. It’s providing more-productive ways to develop applications, gain predictive insights, and bring new revenue-producing services to market. With Oracle Autonomous capabilities and systems - we’re enabling a generational shift in technology where the systems are more secure, data loss is preventable, risk is reduced, and labor costs are eliminated. To learn more, read the Oracle iPaper that highlights our take on the Longitude findings, and download the complete report to see how leading companies are transforming their businesses. To learn how you can benefit from Oracle Cloud, visit Oracle.com/cloud, and follow us on Twitter @OracleCloud.    

New research – Cloud 2020: Cloud Accelerates with Urgency This post was contributed by Fred Kost, Global VP Cross Platform, Security and Analytics With COVID-19 impacting nearly every industry,...

Data Management

Intelligent Automation Goes Mainstream

Is your organization ready to employ an intelligent automation (IA) strategy? If the answer isn’t a resounding “Yes,” it’s time to reconsider. Smart enterprises understand that IA can improve the whole organization—from boosting productivity to viewing real-time business insights on product performance. Obviously, these capabilities provide a competitive advantage over businesses that fail to develop a strategy for enterprise-wide IA. In a newly released Harvard Business Review Analytic Services survey of 434 business and technology leaders, 80 percent said employing IA will be very important to ensuring the success of their business over the next five years. At the same time, 86 percent said that not investing in IA would negatively affect their organization’s ability to compete. “Organizations are already reaping the benefits of intelligent automation, beginning but certainly not ending with enhanced productivity,” said Alex Clemente, managing director of Harvard Business Review Analytic Services. “By establishing these proof points, many are now engaged in how to scale their use of IA across and throughout the enterprise.” So why do business leaders consider IA so crucial? For starters, IA frees up personnel for more strategic work across the enterprise—whether it’s a database administrator who can work on a special project for business units or an accountant who can do more analysis instead of spreadsheet adjustments. Respondents in the survey agree: 52 percent believe IA will have the greatest impact on productivity, while 36 percent see it improving the customer experience. Thirty-five percent expect improved innovation, 32 percent predict better profitability, and 31 percent think product/service quality will ameliorate. A seamless start to adding intelligent automation For many organizations, trying to determine where IA makes the most sense—along with where and how to start—can be overwhelming. For instance, IT staff may ask, “How do you integrate new IA functions with existing applications?” or, “How do you scale these automation initiatives across the enterprise?” Well, working IA into your organization is less daunting than it may seem if you choose the right platform. With Oracle Cloud, you get a platform that delivers three essential drivers of a successful IA project—automation, cloud infrastructure, and advanced analytics—integrated into one offering, making it a seamless solution. A great place to start in IA is with your database, a critical part of your organization. With Oracle Autonomous Database, machine learning is used to automate areas such as security, backups, updates, and other routine management tasks. But unlike a conventional database, it automates routine database tasks, allowing you to focus on getting the most out of your data. The self-managing cloud infrastructure also enables you to run traditional enterprise apps as well as modern cloud-native apps such as chatbots and AI-powered assistants that can help reduce operational overhead. Advanced analytics infrastructure is lagging Still, you’re going to want to optimally mine that data using advanced analytics for crucial insights into your business. Those insights are why more organizations are recognizing the importance of advanced analytics even though many have not yet fully committed to it. In the same Harvard Business Review Analytic Services survey, 71 percent of respondents said advanced analytics will be critical to their business over the next five years, while only 31 percent said the technology is in wide-scale production at their organization. This signals that enterprises are looking for the right cloud infrastructure, the right database, and the right analytics system to enable them to jump fully on board. Another key service available with Oracle Cloud Infrastructure is Oracle Analytics, which works together with Oracle Autonomous Database. It allows you to pull data directly from your database and into an advanced analytics dashboard for a seamless transition with no data fragmentation. Instead of data being moved onto spreadsheets from applications—where it almost immediately becomes outdated—the data moves right into the dashboard for real-time analytics. In addition, Oracle’s integrated solution makes governance more streamlined. No more unapproved and disparate software tools being imported from suspect and unsecured websites. These benefits couldn’t be timelier. Forty-seven percent of the survey respondents said that their company has set up a governance model for the appropriate use of IA, up from 17 percent in a year-earlier poll. That demonstrates that company leaders understand that IA is key to driving smarter governance policies. The overarching theme of the survey is clear: IA is critical in today’s digital world and the leaders agree. The question is how to get to that optimal state of automation and what the best practices are once you’re there. To learn more about intelligent automation and how technology leaders are applying these new innovations, download this report.  

Is your organization ready to employ an intelligent automation (IA) strategy? If the answer isn’t a resounding “Yes,” it’s time to reconsider. Smart enterprises understand that IA can improve the...

Data Management

Oracle Autonomous Database Helps Eliminate Costly Data Breaches

This post was contributed by Ilona Gabinsky, Principal Product Marketing Manager. Data breaches continue to grow every year around the world. Cyber criminals are getting smarter and better able to circumvent security measures. Even the most secure firewalls, intrusion detection, and data loss prevention solutions can’t protect against an employee accidentally downloading malware by clicking on the wrong email, a security patch in a timely manner, or a simple misconfiguration that leaves an entire database open to intrusion. Every Year, Verizon publishes the Verizon Data Breach Investigations Report, derived from real-world data. This report accumulates information from the Verizon Risk Team, The United States Secret Service, The European Union, the Center for Internet Security, and other security teams. According to that report, in 2019 alone there were 41,686 security incidents, including 2,013 confirmed data breaches.  And when you look at the quantity of data stolen, databases are a popular target that account for a large share. What if you could automate the fight? Get ahead of the hacker with a built-in army of “robot cyber warriors” to protect your data automatically, have all patches automatically applied, configurations self-tuned and optimized? That is why Oracle released the industry’s first Autonomous Database. Oracle Autonomous Database Oracle Autonomous Database is a cloud database that uses machine learning to automate database tuning, security, backups, updates, and other routine management tasks traditionally performed by DBAs. Unlike a conventional database, an autonomous database performs all these tasks and more without human intervention. It is self-driving, self-securing, and self-repairing. To help DBAs stay ahead of security threats, Oracle Autonomous Database is self-securing. It protects you from external hackers as well as malicious internal users. It encrypts all of your data, automatically—ensuring comprehensive data protection. It applies security updates, automatically—while your system is running – with no down time. And, Oracle Autonomous Database is self-repairing to automatically reduce the risk of human errors and the downtime they can generate. Oracle Self-Securing Capabilities Under the Hood The Oracle Autonomous Database’s self-securing capability is comprised of three main areas: automated patching and upgrades, automatic encryption by default at rest and in motion, and separation of duties and auditing.   Automated Patching and Upgrades and why it is important. Patch updates are collections of security fixes for Oracle products, and are critical to keep the database up to date.  Organizations big and small need patching to avoid being attacked  by cyber criminals, yet most companies admit that they find it hard to apply patches quick enough. Annually, organizations are spending 18,000 hours at a cost of $1.1m on patching activities, according to the Ponemon Institute research, based on a survey of 3,000 security professionals across nine countries. According to Oracle, if you are a large Oracle customer with 15,000 databases you could spend on average 45,000 hours per year and $3.52M dollars just on patching. Even if you are an SMB with 20 databases you will spend approximately 60 hours per year and $240K. Now, consider how many skilled DBAs you would need? You, as an organization could decide to be selective and not to patch that often, but what is the trade off? A study showed that the global average cost of a single data breach is nearly US$ 4 million - and getting more expensive each year. With Autonomous Database Security patching is automated. The security patches are applied automatically without any downtime in the application which dramatically reduces the cost to you as a customer. Oracle Autonomous Database encrypts data by default, whether at rest or in motion. Data is transferred from storage to processing nodes encrypted. It is even kept encrypted in cache, which is enabled automatically. Encryption of data in motion – Each Autonomous Database service is automatically configured to use industry-standard TLS 1.2 to encrypt data in transit between the database service and clients or applications. Required client certificates and networking information are automatically packaged for the service consumer when the service is provisioned. Encryption of data at rest – Data in the Autonomous Database is automatically encrypted using Oracle Transparent Data Encryption. Key Management- Oracle Cloud Infrastructure offers Key Management, a managed service that enables you to encrypt your data using keys that you control Separation of duties Of course, you want to ensure that only the right people can access the right data at the right time. Oracle Autonomous Database leverages proven technologies like Database Vault and the Pluggable Database Lockdown profiles to isolate database administration (managed by Oracle) from data administration (managed by the Autonomous Database customer). This not only reduces the risk of administrator malfeasance, but it also eliminates the ability of the service administrators to view or modify data stored in the Autonomous Database. Auditing Oracle Autonomous Database leverages Oracle Unified Audit to capture security-relevant activity such as login failures, changes to users, including creation of new accounts and grants of privileges or roles, and changes to database structures, including tables, procedures, and synonyms. Oracle Data Safe allows customers to identify sensitive data and mask it, flag risky users and system configurations, and monitor database activity to quickly discover suspicious attempts to access data, all in a single, unified database security control center. Data Safe includes the following capabilities: Security Assessment User Assessment Activity Auditing Data Discovery Data Masking Dedicated Infrastructure In a dedicated environment, the Oracle Autonomous Database instance is completely dedicated to the subscribing customer, and isolated from all other cloud tenants. It resides on a dedicated Exadata cloud infrastructure, with no shared processor, memory, or storage resources. Such infrastructure may be required by some data security regimes, including regulatory or internal compliance standards. Secure By Design Protecting the value of your data has never been more important. And it’s something even the most powerful IT security team can’t do on their own. By facing the reality of a potential data breach with the power of self-securing capabilities, you protect your data, your brand, and your reputation. Keep your data more secured and reduce the risk of costly data breaches with Oracle Autonomous Database. Download Oracle Cloud Free Tier and get access to Oracle’s self-securing Autonomous Database today.   Additional Resources: New Report: "Cloud Security for Dummies" IDC Whitepaper: Security of Autonomous Database OCI Security Architecture Whitepaper Follow us on: Twitter: https://twitter.com/oracledatabase    Facebook: https://www.facebook.com/OracleDatabase LinkedIn: https://www.linkedin.com/groups/3616890/ Blog: https://blogs.oracle.com/database/          

This post was contributed by Ilona Gabinsky, Principal Product Marketing Manager. Data breaches continue to grow every year around the world. Cyber criminals are getting smarter and better able to...

Data Management

Top 10 Capabilities of Autonomous Database Technology

This post was contributed by Jason Jacquez, Senior Product Marketing Manager. Oracle has a long history as a leader in data management and now as a pioneer in the vitally important new category of Autonomous. In the last 20 years, Oracle has been automating the core capabilities within the database technology from memory management to automatic indexes. With built-in machine learning, Oracle Autonomous Database represents one of most important advancements in the database’s history. It automates the core data management tasks for you- ensuring higher performance, reliability, security, and operational efficiency. What does it mean for a database to be ‘autonomous’? We have provided the top 10 capabilities that make Oracle’s Autonomous Database truly autonomous below. Auto-Provisioning Automatically deploys mission-critical databases (RAC on Exadata infrastructure) which are fault-tolerant and highly available. Enables seamless scale-out, protection in case of a server failure and allows updates to be applied in a rolling fashion, while apps continue to run. Oracle Autonomous Database Delivers Full End-to-End Automation for Mission-Critical Workloads>  Auto-Configuration Automatically configures the database to optimize for specific workloads. Everything from the memory configuration, the data formats, and access structures are optimized to improve performance.  Customers can simply load data and go. White paper: Oracle Autonomous Database Strategy (PDF)> Auto-Indexing Automatically monitors workload and detects missing indexes that could accelerate applications. It validates each index to ensure its benefit, before implementing it and uses machine learning to learn from its own mistakes. Hear how MESTEC’s cloud-based software relies on Oracle Autonomous Database.> Auto-Scaling Automatically scales compute resources when needed by workload. All scaling occurs online, while the application continuously runs. Enables true pay per use. See how Oracle Autonomous Database can help grow your business.> Automated Data Protection Automatically protect sensitive and regulated data in the database, all via a unified management console. Assess the security of your configuration, users, sensitive data, and unusual database activities. Become an Autonomous Database Specialist> Automated Security Automatic encryption for the entire database, backups and all network connections. No access to OS or admin privileges prevents phishing attacks. Protects the system from both cloud operations and any malicious internal users. Reduce Rise with Oracle Autonomous Database> Auto-Backups Automatic daily backup of database or on-demand. Restore or recover a database to any point-in-time you specify in the last 60 days. Autonomous Database automatically backs up your database for you> Auto-Patching Automatically patch or upgrade with zero downtime. Applications continue to run as patching occurs in a round-robin fashion across RAC nodes or servers. Innovate More with Oracle Autonomous Database> Automated Detection and Resolution Using pattern recognition, hardware failures are automatically predicted without long timeouts. IOs are immediately redirected around unhealthy devices to avoid database hangs. Continuous monitoring for each database automatically generates service requests for any deviation. Discover new roads with an Autonomous Database> Automatic Failover (Coming Soon) Automatic failover with zero-data loss to standby. It’s completely transparent to end-user applications. Provides 99.995% SLA. Move an existing database to Oracle Autonomous Database> The Oracle Autonomous Database not only represents a milestone in the way technology is deployed and used, it represents a foundation of technical innovation that has been developed by Oracle over the course of more than three decades, meeting the needs of thousands of enterprise customers worldwide.  For a deeper dive, we’ve sat down with one of our product experts to share more technical background on how these autonomous capabilities can simplify your overall approach to data management. Listen to the webcast recording here. To learn more about Oracle Autonomous Database, click here or try our cloud today. Learn how Oracle customers are using Oracle Autonomous Database to transform their businesses by redefining database management through machine learning and automation. FAQs For Autonomous Database Learn how to quickly build modern, scalable, secure enterprise applications with Oracle Autonomous Database.  Connect with Oracle Analytics Cloud to empower analysts and LOB leaders with AI-driven insights.  Oracle Autonomous Database- Scores Highest in All Four Critical Capabilities Use Cases          

This post was contributed by Jason Jacquez, Senior Product Marketing Manager. Oracle has a long history as a leader in data management and now as a pioneer in the vitally important new category of...

Data Management

In Case You Missed It: OpenWorld London

Last year’s OpenWorld delivered a peek into the future of IT with some of Oracle’s most important announcements in the company’s history. Today, the experience lives on through events taking place across the globe, the most recent being OpenWorld London. At OpenWorld London, Oracle announced several new features that extend the converged architecture capabilities of the Oracle Database to meet the diverse needs that span the entire business, along with new services for its Cloud Infrastructure Data Science Platform. Oracle enables businesses to easily run different kinds of workloads against the same data with a single database engine that handles everything. And to extend these converged capabilities, Oracle has release the following new features: Oracle Machine Learning for Python (OML4Py): Oracle Machine Learning (OML) inside Oracle Database accelerates predictive insights by embedding advanced ML algorithms which can be applied directly to the data. Because the ML algorithms are already collocated with the data, there is no need to move the data out of the database. Data scientists can also use Python to extend the in-database ML algorithms. OML4Py AutoML: With OML4Py AutoML, even non-experts can take advantage of machine learning. AutoML will recommend best-fit algorithms, automate feature selection, and tune hyperparameters to significantly improve model accuracy. Native Persistent Memory Store: Database data and redo can now be stored in local Persistent Memory (PMEM). SQL can run directly on data stored in the mapped PMEM file system, eliminating IO code path, and reducing the need for large buffer caches. This allows enterprises to accelerate data access across workloads that demand lower latency, including high frequency trading and mobile communication. Automatic In-Memory Management: Oracle Database In-Memory optimizes both analytics and mixed workload online transaction processing, delivering optimized performance for transactions while simultaneously supporting real-time analytics, and reporting. Automatic In-Memory Management greatly simplifies the use of In-Memory by automatically evaluating data usage patterns, and determining, without any human intervention, which tables would most benefit from being placed in the In-Memory Column Store. Native Blockchain Tables: Oracle makes it easy to use Blockchain technology to help identify and prevent fraud. Oracle native blockchain tables look like standard tables. They allow SQL inserts, and inserted rows are cryptographically chained. Optionally, row data can be signed to ensure identity fraud protection. Oracle blockchain tables are simple to integrate into apps. They are able to participate in transactions and queries with other tables. Additionally, they support very high insert rates compared to a decentralized blockchain because commits do not require consensus. JSON Binary Data Type: JSON documents stored in binary format in the Oracle Database enables 4X faster updates, and scanning up to 10X faster. Beyond its new database features, Oracle also announced the availability of the Oracle Cloud Data Science Platform. The new service makes it quick and easy for data science teams to collaboratively build and deploy powerful machine learning models. Organizations often fail to utilize the full potential of their data because they lack the right data and tools. Models take too long to develop and don’t always meet enterprise requirements for accuracy and robustness, preventing them to make it into production. Unlike other data science products, Oracle Cloud Infrastructure Data Science focuses on improving the effectiveness of data science teams instead of individual data scientists. Capabilities like shared projects, model catalogs, team security policies, reproducibility and auditability empowers teams by improving overall productivity. It also automatically selects the most optimal training datasets through AutoML algorithm selection and tuning, model evaluation and model explanation. By automating the entire workflow of data science projects, the platform delivers an end-to-end experience designed to accelerate and improve data science results. New data and machine learning services include: Oracle Cloud Infrastructure Data Science: Enables users to build, train and manage new machine learning models on Oracle Cloud using Python and other open-source tools and libraries including TensorFlow, Keras and Jupyter. Powerful New Machine Learning Capabilities in Oracle Autonomous Database: Machine learning algorithms are tightly integrated in Oracle Autonomous Database with new support for Python and automated machine learning. Upcoming integration with Oracle Cloud Infrastructure Data Science will enable data scientists to develop models using both open source and scalable in-database algorithms. Uniquely, bringing algorithms to the data in Oracle Database speeds time to results by reducing data preparation and movement. Oracle Cloud Infrastructure Data Catalog: Allows users to discover, find, organize, enrich and trace data assets on Oracle Cloud. Oracle Cloud Infrastructure Data Catalog has a built-in business glossary making it easy to curate and discover the right, trusted data. Oracle Big Data Service: Offers a full Cloudera Hadoop implementation, with dramatically simpler management than other Hadoop offerings, including just one click to make a cluster highly available and to implement security. Oracle Big Data Service also includes machine learning for Spark allowing organizations to run Spark machine learning in memory with one product and with minimal data movement. Oracle Cloud SQL: Enables SQL queries on data in HDFS, Hive, Kafka, NoSQL and Object Storage. Only CloudSQL enables any user, application or analytics tool that can talk to Oracle databases to transparently work with data in other data stores, with the benefit of push-down, scale-out processing to minimize data movement. Oracle Cloud Infrastructure Data Flow: A fully-managed Big Data service that allows users to run Apache Spark applications with no infrastructure to deploy or manage. It enables enterprises to deliver Big Data and AI applications faster. Unlike competing Hadoop and Spark services, Oracle Cloud Infrastructure Data Flow includes a single window to track all Spark jobs making it simple to identify expensive tasks or troubleshoot problems. Oracle Cloud Infrastructure Virtual Machines for Data Science: Preconfigured GPU-based environments with common IDEs, notebooks and frameworks that can be up and running in under 15 minutes, for $30 a day. While the future of IT is centered on data, Oracle believes that the driver of that future is our customers. Oracle OpenWorld London was an opportunity not only to showcase the capabilities of our products, but to inspire the possibilities of what companies can achieve with them. To learn more or see highlights from OpenWorld London, click here.

Last year’s OpenWorld delivered a peek into the future of IT with some of Oracle’s most important announcements in the company’s history. Today, the experience lives on through events taking place...

Data Management

Art in the Cloud: Autonomous Database

This post was contributed by Steve Daheb, Senior Vice President, Oracle Cloud & Trek Thunder Kelly, Artist The Oracle Autonomous Database helps our customers to do what they do best: innovate. In this episode, we invited artist and adventurer Trek Thunder Kelly to sit down with Steve Daheb, Senior Vice President of Oracle Cloud, to learn about the Autonomous Database. Watch this interview to see how this inspired Trek to create his mural, “Bee Autonomous,” at OpenWorld 2019. Steve’s Take:  My conversation with Trek began with the idea of giving time back to people to enable them to create. Today, we’re finding ourselves at the precipice, leading the market and our customers into a new age: the automation age. It marks the culmination of four decades of technology innovation with the integration of machine learning. It’s an entirely new category of software automation based on machine learning—a technology as revolutionary as the internet. Customers now have the means to automatically generate insights and perform manual tasks, all while reducing costs and risk.  Artists such as Trek need the creative freedom to imagine, visualize, and focus on creating art. Similarly, autonomous technology will completely reshape our approach to IT, allowing us to free our budgets, resources, and imaginations for customers to focus on business growth and innovation. Oracle is uniquely positioned to help our customers realize exceptional value and generate real change by spending their time and resources on the things that have the greatest impact on their businesses by: driving operational efficiency engaging with their workforce and partners creating exceptional customer experiences innovating We believe it is our responsibility to do the hard work to embed emerging technologies that provide new sets of capabilities while at the same time simplifying the path to the cloud. Oracle Cloud and our Autonomous capabilities are the ultimate expression of that technology advancement and of our commitments to our customers. I often talk about redefining what’s possible. At Oracle, we believe that automation and autonomous technologies are completely changing how data is captured, processed, and accessed. With respect to outcomes, it’s doing two very important things. It’s providing insights to help us better understand our business. And it's helping free our time to focus on innovation. Autonomous technologies are fundamentally changing how we experience data. What used to be simple tables, charts, and scatter plots are now live, complex, and creative visualizations that are presented to us and provide deeper meaning. It’s new ways we interact with the world around us. And, it's actions taken based on insights, both collected and predictive, both self-directed and automated. Trek took this idea and brought it to life through his mural, “Bee Autonomous.” Customers such as The World Bee Project use the Autonomous Database to take complex data, pull meaningful insights, and take action. Only Oracle has the technology, experience, and imagination to deliver an Autonomous Database. We uniquely allow our customers to explore their own imaginations and build their own cultures of innovation that ultimately define who they can and will be. Helping our customers through every major technology transformation is something Oracle has been doing for decades now. And, for us, it’s always been about enabling what’s possible. Trek’s Take: What is it like to live paint a mural at Oracle OpenWorld? Unbelievably cool. Especially when attendees have the opportunities to actively engage with both the mural and me. What I most enjoyed was explaining the layered meanings of the art with the curious viewers, donned in suits. My task was to somehow take my conversation with Steve Daheb and capture the Oracle Autonomous Database visually through an artistic lens. When I spoke with Steve, I learned that Autonomous services allow companies to become more efficient by allocating tedious work to the cloud, thus freeing time for humans to do what they’re best at: imagining and creating. This allows organizations to not only become more competitive and successful, but in some cases leads to innovation that can save the world! Enter The World Bee Project, the first private organization to launch global honeybee monitoring to improve their habitats, food security, and livelihood. The Oracle Autonomous Database helps them by storing, tracking, and analyzing the enormous amount of information necessary to do this. Thus, through Oracle's introduction, I had my inspiration for the mural. Using Oracle's new branding and warmer color scheme, I merged the logical, analytical right brain with the creative, emotional left brain on a giant canvas. The zig-zags of the mural represent real audio data visuals pulled from the Autonomous Database used by The World Bee Project, while the heart-shaped side pours free-form and whimsical color. Brains at their best blend these activities. Language melts into music, reason dances with dreams, rationality is buoyed by compassion. The bees represent neurons busily pollinating the floral creative mind into the hive-like neural network of the logical mind, and vice versa. And the result is... "Bee Autonomous!”  

This post was contributed by Steve Daheb, Senior Vice President, Oracle Cloud & Trek Thunder Kelly, Artist The Oracle Autonomous Database helps our customers to do what they do best: innovate. In this...

Data Management

How Autonomous Technologies are Advancing Businesses

This post was contributed by Jason Jacquez, Senior Product Marketing Manager. The start of each new year is always met with excitement, but 2020 is special as we have also embarked on a new decade. At the beginning of the year we often ask ourselves several questions… What were my wins in the past year? What did I do wrong?  What did I learn?  What are my current goals?  How can I accomplish those goals? Whether it’s to drive our individual growth or to progress the businesses we run, these questions remain prevalent as we look forward into the coming decade. Looking at current technology trends, automation and autonomous technologies have become pertinent tools to driving digital transformation. With Autonomous technologies, customers now have the means to automate insights and manual tasks, while reducing costs and risk. It has completely reshaped our approach to IT, allowing us to free our budgets, free our resources, and free our imaginations for customers to focus on business growth and innovation. And, we’re seeing a new generation of capabilities and innovation. Driving Greater Business Value Enterprises today are looking to accelerate their digital transformation in order to remain competitive. IT budgets are often spent on maintaining existing information systems, while maintenance drawbacks such as manual patching and tuning can be debilitating to organizations, resulting in more than one negative outcome. Autonomous technologies such as Oracle’s Autonomous Database help to eliminate these manual tasks, and enable faster time to provisioning and higher performance than on-premises. For example, a leader in hybrid cloud managed services, one company decided to move its Oracle E-Business Suite to Oracle Cloud Infrastructure as well as its Business Intelligence workloads onto Oracle Analytics Cloud on the Oracle Autonomous Data Warehouse. As a result, it saw 10 times faster time to provision and 4-5 times higher performance than on-premises, with no downtime and zero administration involvement. Using the power of autonomous, IT pros now have more time to implement new projects and extract more value with their data. Data-driven Transformation Regardless of the institution you are a part of, managing data effectively, efficiently, and securely is now more essential than ever.  Autonomous technologies are a requisite for data-driven transformation and only Oracle delivers a platform that supports data of all types and sources. Oracle can automate the collection of data across multiple applications, visualize millions of data points, and do so seamlessly. The result is having a system that is automatically making recommendations and delivering actionable intelligence to any type of business. For instance, a marketing firm that houses 260 million U.S consumer records used Autonomous Data Warehouse, Analytics, and Marketing Cloud to personalize its campaigns and measure ROI. These new insights enabled the company to improve performance by 70% and grow its revenue 14 times by reducing the average cost of customer acquisition by 52%. With the Autonomous Database, companies can optimize operations, develop real-time marketing campaigns, and better understand their markets and their customers.  Reduce Risk As more and more businesses move to the cloud, the expanded attack surface poses new risks for security breaches. To compete with these threats, organizations need a platform that’s autonomous. Oracle pursues a layered security approach that spans data, applications, users and infrastructure. The Autonomous Database enables rapid defenses with self-securing features that identify and respond to threats, protecting all paths to the data. For example, an Italian government department dedicated to veterinary science used Autonomous Database to enhance its data security with advanced data encryption and embedded back up service, ensuring the protection of its sensitive data generated from 3 million exams a year. Oracle’s broad security portfolio leverages AI and Machine Learning to automate encryptions, improve data visibility, and detect anomalies so that businesses can remain resilient and focus on higher value tasks. While it’s easy to see how autonomous technologies have shaped digital transformation in recent years, it’s most exciting to imagine the possibilities they will bring in the years to come. Autonomous technologies are fundamentally changing how we experience data and opening a new world of possibilities for organizations. Companies can now harness the abundance of data to gain predictive insights and analytics into their business, enabling new ways to deliver apps, services and experiences. So as you’re reflecting on the last decade’s innovations and considering your next step, think less of what these technologies have already done and more on what they can do for your future. To learn more about Oracle’s Autonomous Database, click here or try our cloud today.

This post was contributed by Jason Jacquez, Senior Product Marketing Manager. The start of each new year is always met with excitement, but 2020 is special as we have also embarked on a new decade. At...

Data Management

What is a Gen 2 Cloud?

Cloud is enabling an incredible transformation that we are all experiencing in the market today. It really is changing everything. It’s changing how businesses run and people work; it’s creating new categories and disrupting existing categories, it’s changing how we communicate and share. It’s changing the economics of business forever.  And, it’s happening at an incredible speed and is here today. This presents an incredible opportunity for all of us. At Oracle, we’re finding ourselves at the precipice, leading the market and our customers into a new age, providing them new technology and new tools to take advantage of the information. However, as cloud adoption continues to evolve, many businesses are still challenged to find a cloud provider that can meet their needs. While first generation cloud offerings were an underlying element to many new innovations, they often lacked the architecture to accommodate traditional application architectures. They were architected to address the needs of companies building cloud native, net-new applications rather than financial systems, government workloads, or data-intensive applications. Many were built on decade old technology where performance, security, and migration options were afterthoughts. Consequently, today’s IT is in need of a new generation of cloud computing, one with capabilities that meet the evolving currency of new technologies and environments.   With this in mind, Oracle architected its next generation cloud infrastructure for the enterprise, while also building a platform that supports the new emerging technologies. Gen 2 Cloud enables enterprises to replace their on-premises data centers with a cloud deployment model. While Gen 1 was focused on serverless and elastic, Gen 2 is centered on being autonomous and secure. These design principles are what differentiate Gen 2 from its predecessor, delivering built-in security to mitigate threats, superior economics with improved automation, and industry leading scalability and availability. With Gen 2 Cloud, it’s a comprehensive security solution that addresses the needs of all users, apps, data and infrastructure. This architecture also has integrated governance and control, and is reliably backed by end to end SLAs. It provides a complete set of solutions for managing data across diverse data types, and provides rich AI-based visual analytics. Furthermore, Oracle’s Gen 2 Cloud is the only infrastructure built to run on Oracle Autonomous Database, the industry’s first and only self-driving database. With this alignment, Oracle is paving the road to becoming the world’s first complete and truly autonomous cloud. When combining an extensive data management portfolio with an advanced infrastructure platform, the Gen 2 Cloud has the ability to power all types of workloads while also enabling customers to run their corresponding applications, extensions, and other custom apps. It is simplifying IT and business functions by engineering all our products to work together, with each piece benefiting from the capability of its underlying platform. Machine learning powers autonomous systems that can eliminate human labor and pilot error, as well as the need for physical assets like storage and compute. Meanwhile, Gen 2 Cloud supports all of the emerging technologies - which include artificial intelligence, machine learning, IoT, blockchain, and human interfaces - driving new opportunities for innovation for our customers. This new generation of cloud is the ultimate expression of our commitment to enable our customers and to continuously deliver new capabilities while simplifying the path to cloud. It marks the new wave of technology where systems are more secure, the risk of data loss is greatly reduced, and labor costs are cut back. And with these new innovations, our customers can chart their path to the future of IT to drive faster results and real value. To learn more, visit https://www.oracle.com/cloud/

Cloud is enabling an incredible transformation that we are all experiencing in the market today. It really is changing everything. It’s changing how businesses run and people work; it’s creating new...


72 Hours to Cloud: How Care.org Modernized Mission-Critical Applications

This post was contributed by Leo Leung, Senior Director, Products and Strategy, Oracle Cloud Infrastructure What could the right cloud infrastructure mean for your organization? For CARE, the right cloud infrastructure means being able to accelerate organizational change while improving internal financial and supply chain functions to deliver humanitarian services to millions of people. At a high level, the CARE story is a common one when it comes to cloud adoption. Many customers find benefits in improved IT efficiency and a more scalable, secure and reliable infrastructure for their critical business applications. But at a tactical level, nothing about the CARE story is common. We know that’s the case for all organizations moving from on-premises applications to the cloud, and so we’ve designed Oracle Cloud Infrastructure to give global enterprises consistent system performance without them having to be software and hardware experts themselves. We figure out how to make the technology scalable and reliable so that our customers can focus on what they do best. A Fast, Seamless Upgrade Many large, global enterprises are right now facing the challenge of upgrading to the benefits of cloud services while keeping the same core business applications. Changing to a different application or building a new one often introduces too much risk and cost. Take the case of CARE: It needs to supply its headquarters and donors with accurate information, but in the past, it had to run its financials offline because of local technology limitations. With the cloud, CARE can get fresh information every 30 minutes, ensuring that financial controls and criteria are met before making commitments and dispersing funds to suppliers. Mamuka Khantadze, CARE’s senior director of technology operations, recognized that a top priority was not to be bogged down in the day-to-day management of systems, infrastructure, backup, and other non-core tasks. He also wanted to improve security and dependability. After deciding that Oracle Cloud Infrastructure was the next chapter in its story, CARE partnered with Astute Business Solutions and upgraded its on-premises PeopleSoft finance applications. The organization went live globally with a single instance of PeopleSoft 9.2 in the cloud in about 72 hours. This successful feat would not have been possible even a few years ago. New Possibilities with Cloud The reality is that cloud technology has rocketed forward in recent years, opening ways for enterprises like CARE to further their stories by taking steps that align with their unique needs. With Oracle Cloud Infrastructure, global enterprises using Oracle and other enterprise on-premises applications can quickly and efficiently modernize those applications and gain the security, elasticity, reliability, and other service benefits of the cloud—all while continuing to use the applications. This capability is one way that Oracle helps our enterprise customers transition to the cloud, and use their valuable data and human resources while gaining benefits from advancing technologies. For me, it’s part of a mission that led me to join Oracle in 2016. In prior roles, I had experienced cloud services from both startup and enterprise perspectives, and I found there to be many gaps for larger companies. I wanted to change that, and so did Oracle. Since then, we have worked to close those gaps by using our decades of enterprise IT experience, as well as our experience building and scaling first generation cloud services, to build a cloud alternative that surpasses what other providers can offer to enterprises. It’s a new generation of cloud computing built with new design principles in tenant isolation, end-to-end performance, and platform flexibility. Oracle Cloud Infrastructure serves as the foundation for Oracle’s Autonomous Database, Oracle’s cloud services and applications, and a customer’s existing and new workloads. It’s architected specifically for mission-critical enterprise workloads and enables organizations to run applications with enterprise-level SLAs, achieve faster results, migrate workloads at lower risk, and reduce IT costs. Oracle Cloud Infrastructure: The Same but Better CARE’s story is compelling, but there are more. Alliance Data Systems (ADS), a loyalty and marketing services company, moved its on-premises applications to Oracle Cloud Infrastructure after considering multiple cloud vendors, including Amazon Web Services (AWS). The company had faced a common decision: Should it renew its current data center agreement for PeopleSoft applications, or should it move to the cloud? The company decided to get rid of its data center and move to the cloud. ADS looked at vendor offerings in terms of cost, security, and availability. However, the company also knew, from experience, that its business had greatly benefited from the performance, scalability, and reliability of its Exadata database platform, and leaving that platform was a risky choice, one that could affect its service delivery. Ultimately, ADS decided that migrating to Oracle Cloud Infrastructure was the best path forward because the company could use the same Exadata platform. Both of these customers were able to stay the same where it mattered but also improve security, reliability, and the user experience. They are charting their own cloud destinies instead of being limited by inflexible cloud offerings from providers that do not have as much experience with enterprise technology, processes, and requirements. A More Powerful Cloud Services Model for Your Story More and more of our customers are finding that moving Oracle applications to Oracle Cloud Infrastructure is a fast path that delivers the same cloud benefits but with lower risk and disruption. Essentially, if you’re a large enterprise, Oracle Cloud Infrastructure gives you more flexibility than any other provider to define your own cloud transition. That difference is powerful, because your organization’s story is unique—both in the chapters that have led up to this point and the chapters yet to be written. What can you do with the right cloud infrastructure? That’s up to you and your organization, and we’ve designed Oracle Cloud Infrastructure to make getting there easier. Learn more about how Oracle Cloud helps CARE streamline operations.  

This post was contributed by Leo Leung, Senior Director, Products and Strategy, Oracle Cloud Infrastructure What could the right cloud infrastructure mean for your organization? For CARE, the right cloud...

Data Management

Oracle OpenWorld 2019 - In Case You Missed It

With over 130,000 people dedicated to helping customers transform the way they do business, Oracle brings the unique skills, experiences, and imagination to deliver incredible new innovations every year. The past year represented some of the most important announcements in Oracle’s history with the release of technologies like Autonomous Database, Blockchain, Digital Assistant and more. Since then, Oracle has further enhanced its existing technologies while bringing to market new innovations, in the spirit of enabling its customers to re-imagine what’s possible in today’s digital world. In case you missed it, here are some key announcements from this year’s OpenWorld. Oracle Autonomous Database Automation and autonomous technologies are completely changing how data is managed, how information is captured, processed, and accessed. With respect to outcomes, it’s doing two very important things: It’s providing insights to help us better understand our business, and it’s freeing our time to focus on innovation while also providing us with a platform upon which to innovate. The first of its kind, Oracle Autonomous Database uses ground-breaking machine learning to provide self-driving, self-repairing and self-securing capabilities. These functions ultimately serve to drive lower costs, better security, and higher innovation for its customers. The database encompasses two key services: Autonomous Data Warehouse (ADW) and Autonomous Transaction Processing (ATP). Collectively, these services were born from the foundational elements that make up the Autonomous Database. First, it’s automated database operations, from key database functions to memory management and diagnostics. Second, is its rich, policy-driven optimization implemented via machine-learning. And finally, this new database technology is optimized to run on Oracle’s next-generation infrastructure to meet the needs of all businesses. In the last year, Oracle has expanded the capabilities of its Autonomous Database to meet the needs of all types of users and to enrich the possibilities for them to innovate. Whether you’re an enterprise customer with mission-critical workloads or a developer looking to build applications, Oracle has done the hard work to make its technology available and beneficial to everyone. Here’s how: Oracle’s Autonomous Database Dedicated (ADB-D) This dedicated service allows customers to easily transition from on-premises databases to a fully-autonomous and isolated private database cloud within the Oracle Public Cloud. Deployed on a dedicated Exadata Cloud Infrastructure, this architecture delivers the highest degree of workload isolation in which the virtual cloud network is hardware enforced. Furthermore, features include customizable operational policies, so customers have greater control over provisioning, software updates, availability, and more. This enables companies with databases of any size, scale, or criticality to have the security and flexibility needed to support their mission-critical workloads. The addition of a dedicated (ADB-D) choice makes it possible for companies to deliver a self-service database capability that aligns with its organizational structure. Low Code Development Oracle APEX allows developers to quickly build scalable and secure enterprise apps using only a few lines of code. With APEX, users can deliver compelling reports and data visualizations, with features like SQL grouping to automatically calculate counts, strategic algorithms to choose the best facets to use, pre-filtered data and more. Build sophisticated applications without the expertise of a vast array of web technologies - from simple web apps to missional critical apps that are accessed daily by hundreds and thousands of users. With Oracle SQL Developer Web, users can easily run queries, create tables, and generate schema diagrams. Finally, with native Oracle REST Data Services support, developers can develop and deploy RESTful services for Oracle Autonomous Database, making it easy to create modern REST interfaces for relational data. Oracle Data Safe Oracle Data Safe helps organizations more effectively protect their data, serving as a unified database security control center at no additional cost. It manages security best practices that include validating the configuration of a database, identifying risky users, ensuring that appropriate policies are enforced, tracking the activities of users, or providing masked copies of sensitive data for partner, test, and development purposes. With no special security expertise needed, the Data Safe provides the tools so customers know exactly what is going on with their data to quickly address any issues that may come up. Customers still have control over the security - Oracle simply takes care of the infrastructure. This unwinds the complexity of the database, allowing customers to save time and mitigate risks with no additional costs. Free Autonomous Database Oracle has launched its new Always Free services for anyone to try the world’s first self-driving database and Oracle Cloud Infrastructure for an unlimited time. Now, organizations, IT professionals, developers, students and educators have access to the same full functionality as Oracle’s paid services which include Compute VMs, Block Volumes, Object and Archive Storage, and Load Balancer. The Free Tier includes 2 Autonomous Databases, each with 1 OCPU and 20 GBs of storage. This is complemented by Oracle’s existing free trial program which provides $300 credit for 30 days which can be used for many additional services such as Analytics, Digital Assistant, Integration and Management. Developers can build applications using any language and framework on top of Oracle Cloud Infrastructure and Autonomous Database, with access to a rich set of free developer tools including APEX, SQL Developer Web, Machine Learning Notebooks, REST interfaces and more. Oracle Gen 2 Cloud Infrastructure   Last year, Oracle had the foresight to deliver to market a Second Generation Cloud, representing a fundamental re-architecture of the conventional public cloud. Specifically architected for the enterprise, the Gen 2 Cloud provides a new infrastructure with a full set of platform capabilities. These new design principles enable enterprises to move more easily from on-premises to cloud, with built-in security to mitigate threats, as well as superior economics with improved automation. It includes industry leading scalability and availability, with integrated governance and control as well as reliability backed by end-to-end SLAs. It supports all of the emerging technologies - artificial intelligence, machine learning, IoT, blockchain, human interfaces - so enterprises are able to implement these new technologies to support mission-critical applications, drive new business models, and create new business value. The Gen 2 Cloud spans multiple services including app dev, integration, analytics and security. The new infrastructure provides all the technology required to build, extend, and connect apps. For app dev, it includes mobile, blockchain, AI/ML, and chatbots. There’s integration for Oracle and non-Oracle apps, both on-premises and in the cloud. Users are then able to connect multiple data sources to perform deeper analytics to drive informed business decisions. And to protect all that information are layers of defense on a secure platform for applications and data, helping offload security responsibilities from organizations. Here are some of this year’s announcements surrounding Oracle’s new generation of cloud infrastructure: Oracle Autonomous Linux Oracle Autonomous Linux is the world’s first autonomous operating system that eliminates complexity and human error to deliver unprecedented security, availability, and cost savings for Oracle Cloud Infrastructure customers. The system executes automatic patch updates and tuning without the need for human intervention. Based on Oracle Linux, it is binary-compatible with Red Hat Enterprise Linux, so even IBM Red Hat customers can use the service with current applications on Oracle Cloud Infrastructure at no additional cost. Customers can minimize availability risks and security risks from missed or incorrectly applied patches, while reducing overall downtime. With automatic provisioning, scaling, and tuning, customers can expect to have a 30% to 50% TCO savings over five years versus both on premise and other cloud vendors. Oracle & Microsoft Oracle’s recent partnership with Microsoft combines Oracle and Microsoft technologies to support both line of business and mission-critical applications. Customers can now migrate to the cloud or build new applications while leveraging the best of both Oracle Cloud and Microsoft Azure, with seamless interoperability. This technical alliance enables customers to leverage a broader range of tools through an integrated and unified enterprise cloud solution. Organizations can deploy fully-supported, cross-cloud solutions quickly and easily with unified identity, fast interconnect, and collaborative support. The partnership provides customers with the ability to leverage and capitalize on existing investments and licenses, partnerships, skillsets, and data while achieving successful cloud migration without the need to re-architect solutions or compromise on performance or reliability. With access to their distributed data estate, customers gain enhanced visibility to support better decision making via their Oracle, Microsoft, or third-party data visualization platforms of choice. Oracle & VMware Oracle’s expanded partnership with VMware helps customers leverage their companies’ software and cloud solutions to make the move to the cloud. Companies can run their VMware Cloud Foundation on Oracle Cloud Infrastructure, enabling easy migration of VMware vSphere workloads to Oracle Cloud. Oracle will provide technical support for Oracle software running in VMware environments both in customer on-premises data centers and Oracle-certified cloud environments. Users can manage their VMware-certified stack with administrative control over matters including version management, operations and upgrade time. Additionally, customers have access to Oracle services such as Oracle Autonomous Database, Oracle Exadata Cloud Service and Oracle Database Cloud, which run in the same cloud data centers and networks, with a consistent portal and APIs. Breakthrough Starts Here Delivering decades-worth of innovation and technology, OpenWorld represents Oracle’s platform for inspiring breakthroughs. The core of Oracle’s company values began with the belief that the foundation of information technology is in managing information and providing customers with the tools to take advantage of it. As we look back at the innovation that the company has brought forth over the last 40 years, its purpose has not so much changed, but rather evolved to become a philosophical approach to always reimagine what’s possible. The value that Oracle’s technology delivers is in its ability to free up the imaginations of its customers so they can focus on innovation and drive impact in the world. Whether you’re creating an application to help the lives of diabetics, or elevating customer experiences to disrupt the fashion industry, the possibilities are endless - and it’s up to organizations to leverage existing technologies and define their value in today’s digital world. In case you missed it, watch this year’s OpenWorld sessions on-demand.

With over 130,000 people dedicated to helping customers transform the way they do business, Oracle brings the unique skills, experiences, and imagination to deliver incredible new innovations every...

Business Analytics

The Evolution of Emerging Technologies

Technologies have evolved from emerging to a reality. Today, we’re seeing emerging technologies and automation permeate every aspect of work and life. From self-driving cars to personalized medicine, to smart manufacturing, to precision agriculture, and new smart cities that are changing the way we experience our world. Applications that can analyze, reason and propose actions will play a central role in how organizations serve customers and run their operations. The real opportunity for technologies like – artificial intelligence & machine learning, IoT, blockchain, containers & serverless, and human interfaces – is to enable companies to embrace innovation on a scale like we’ve never seen before. Enterprises have gone from experimenting with these technologies in a sandbox, to implementing them for mission-critical applications, to building new business models, and creating business value.  Oracle’s strategic approach is to make emerging technologies pervasive through all of its business applications and platform services. Oracle embeds ML into SaaS applications (ERP/EPM, SCM, HCM, CX) to support business users and analysts, and into its platform to support end-to-end needs of data scientists, developers, database admins, and IT management. For example, built-in AI tools are integrated into Oracle CX applications that better predict account health, deliver next-best-service actions, automate answers, and provide more personalized service. Oracle embeds ML into management services and security offerings to help monitor, troubleshoot, and predict possible outages and security breaches. Oracle enables personalized interactions across applications via digital assistants, speech, touch, and text, providing real context. Integrating ML with analytics solutions helps to discover hidden patterns, and more importantly, Oracle has combined machine learning with decades of database optimization to deliver the world’s only Self-Driving Database. Anytime there is human decision involved, ML can help with Deeper Insights- to easily see multi-factor causal relationships across more data sources Faster Insights- to apply deep insights at the speed of business Automating the mundane- Free humans to focus on higher value problem solving instead of repetitive mundane tasks Oracle accelerates time to value with AI for customers in many industries, of all sizes, and with varying levels of machine learning and AI technology skills. While our competitors are either focused solely on AI business solutions, or custom development of machine learning models, Oracle offers both. Oracle provides a comprehensive blockchain offering, including Oracle Blockchain Platform for developers who want to build custom applications, and business-ready Oracle Blockchain Applications Cloud. Oracle’s blockchain applications are built with Oracle Blockchain Platform and seamlessly connect with Oracle Supply Chain Management (SCM) Cloud, Oracle Enterprise Resource Planning (ERP) Cloud and other Oracle Cloud Applications. Oracle Blockchain Platform streamlines the process of building and integrating blockchain applications across diverse business networks and connecting them into the relevant business processes within these ecosystems. Learn how Automated Banking solution uses Oracle Blockchain Platform to help banks onboard their corporate customers quickly and securely. Using Oracle Blockchain Platform, CargoSmart achieved to establish new ways to increase trust in diverse ecosystems; increasing the speed, security, and efficiency in business processes. Watch this Smart City solution demonstration use Oracle IoT Cloud Services to streamline tasks, and provide a simple & intuitive interface for citizen engagement helping achieve reduced costs, and improved services for local governments. iGeolise, an online travel platform, uses Oracle Container Engine for Kubernetes and high performance Oracle Cloud Infrastructure to achieve reduced processing time from 1week to 8 hours, helping explore & build new cloud native apps with greater efficiency and no scaling issues.  If you are attending Oracle Open World 2019 in San Francisco, here are some Emerging Tech sessions that you might be interested to attend. Oracle Cloud: The Next Big Things AgroScout: Revolutionizing Agriculture with Robotics and AI, Powered by Oracle Cloud Native Services What's New in Oracle Blockchain Platform Startups Thriving in the World of Cloud Native Applications The Latest Innovations in Emerging Technology  

Technologies have evolved from emerging to a reality. Today, we’re seeing emerging technologies and automation permeate every aspect of work and life. From self-driving cars to personalized medicine,...

Business Analytics

Making Compromise Obsolete with Oracle Gen 2 Cloud

This post was contributed by Senior Principal Product Marketing Director, Ron Craig. There’s an old saying in the automotive world – “Cheap, fast, reliable – pick any two”. What’s interesting is as self-driving and automation in general progresses, the introduction of enabling technologies means those old trade-offs may no longer apply. Out of all of those advances, one that I find particularly intriguing (for as long as the concept of a multi-speed transmission remains relevant!) is the idea of the predictive transmission. A predictive transmission addresses the problem that a regular automatic transmission will typically only react to a steep hill or sharp bend by downshifting after encountering that change in road topology to match your slower engine speed, meaning there’s a period of time during which the car isn’t performing optimally. With a predictive transmission, now available in many production cars, the transmission is linked to the car’s navigation system, giving it the intelligence to get into the appropriate gear in advance. Having knowledge of what is ahead allows the transmission to shift appropriately before a change in road conditions, avoiding that period of sluggishness we’ve all encountered where most automatic transmissions are still figuring out how to react. The end result is the best of both worlds – better fuel economy and better performance – two things that you typically would have had to choose between in the past. In short, compromise becomes obsolete. In the same way, by being proactive rather than reactive, Oracle Generation 2 Cloud is anticipating and acting on your needs rather than always waiting for your guidance, meaning you don’t necessarily need to choose between cost, speed and reliability. Oracle Generation 2 Cloud goes beyond first generation cloud technology to offer organizations advanced capabilities that allow them to run their existing and future workloads better and faster. The Oracle Generation 2 Cloud also allows you to get the most out of your data, while also ensuring it’s available and secured. On the database front, integrated machine learning (ML) capabilities in Oracle Autonomous Database allow you to extract more value from your data – moving algorithms to the data rather than the other way around. Oracle Autonomous Database provides options to extract value from the database using SQL analytics, or gain insights and make predictions via native ML. ML algorithms are available as native SQL functions – in effect we’ve taught the database how to do higher level math. Models that used to take weeks to build can now be built in minutes, and multiple data scientist user roles are supported (DBAs, app developers, data scientists etc.).   Oracle Machine Learning Notebook Moving the analytics to the database opens up a new world of possibilities. For example, you can now dedicate more time to things like identifying which machines in your factory will soon require maintenance and only shut down what really needs to be shut down, rather than pausing production on all equipment for routine, perhaps unnecessary, maintenance. Oracle Cloud technology is helping innovators disrupt a broad range of industries. We’re seeing financial services use AI for automatic forecasting without human intervention, to smart manufacturing utilizing real-time IoT data for equipment optimizations. In a particularly compelling example, a medical lab testing company is using Autonomous technologies to shorten results from weeks to minutes. This allows for faster time to diagnosis, which means fast time to treatment, which ultimately means the shortest time to recovery. Cyber Security company FireEye expects to not only better protect their customers through the ability to analyze tens of millions of emails daily, but also reduce disaster recovery costs by 40-50% by moving to Oracle Cloud. Oracle Cloud Blockchain Technology is helping logistics and shipping management company CargoSmart simplify the otherwise complex documentation process and deliver a single source of truth for trusted, real-time sharing of information, increasing trust and boosting the efficiency of ocean freight shipping. OUTFRONT Media is using Oracle Analytics Cloud and Oracle Autonomous Data Warehouse to gain the insight that help their clients make the most effective use of their advertising budgets. What do all of these companies have in common? That’s simple - none of them is a database or compute infrastructure management company. They leave that to Oracle and the Oracle Generation 2 Cloud, while they focus their efforts on growing their businesses by providing differentiated value to their customers. Learn more at Oracle Open World 2019 To learn more about Oracle’s Generation 2 Cloud or to hear from our customers themselves, visit the sessions below at the 2019 Oracle OpenWorld event - The Power of Insights: Better Business Decisions with Oracle Autonomous Data Warehouse, Monday September 16, 1:45 PM – 2:30 PM | Moscone West – Room 3007B Oracle Cloud: A Path and Platform, Tuesday September 17, 11:15 AM – 12:00 PM | YBCA Theater Solution Keynote: Oracle Cloud Infrastructure Strategy and Roadmap, Tuesday, September 17, 03:15 PM – 05:00 PM | Moscone South – Room 207/208 Customer Case Study Session: Oracle Cloud Infrastructure Enables Threat Detonation in World-Leading Security Products, Monday, September 16, 01:45 PM – 02:30 PM | Moscone South – Room 152A Oracle Autonomous Data Warehouse: Customer Panel, Tuesday, September 17, 01:45 PM – 02:30 PM | Moscone South – Room 211

This post was contributed by Senior Principal Product Marketing Director, Ron Craig. There’s an old saying in the automotive world – “Cheap, fast, reliable – pick any two”. What’s interesting is as...

Data Management

Enabling the Autonomous Enterprise

This post was contributed by Senior Principal Product Marketing Director, Ron Craig. Background – data overflow The ability of enterprises to generate data is increasingly outpacing their ability to realize real value from that data. As a result, opportunities for innovation, driven by customer, market and competitive intelligence are being left on the table. And given that only a subset of the avalanche of data is being put to good use, it’s entirely possible that the use of inadequate data is leading to bad decisions. A key source of this problem is that the productivity of human beings simply hasn’t kept pace with the technologies we have developed to help improve our business processes. IDC has predicted that by 2025, 6 billion consumers will have one data interaction every 18 seconds. At that point, the volume of global data will be 175ZB (175,000,000,000,000,000,000,000 bytes), and ~30% of that will be real time data – a 6X increase vs. 2018. The exponential increase in effort required to clean, arrange, secure, maintain and process the data from all those customers means less effort can be dedicated to insights. As a consequence, enterprises are not truly seeing the benefits from their own success in becoming data companies. Abstraction as a game-changer So what’s needed in response? Sometimes it’s good to look to other areas for inspiration, and innovation in the semiconductor industry provides some useful insights. That industry, since its early days, has had to deal with the fact that user productivity has struggled to keep pace with advances in technology, and has surmounted those issues with innovations that address those productivity limitations head on. Digital designs - the creations that comprise everything from the silicon chips to operate a timer on a microwave oven all the way up to the ability to forecast the weather with a supercomputer - are at their essence created from logical components, known as gates. These logic gates perform pretty routine Boolean operations, and effectively allow decisions or calculations to be made based on sets of inputs, and propagate those calculations in real time. Chip designers working at the gate level could be expected to produce verified designs (effectively combinations of connected gates) at a rate of ~50 gates per day - a productivity level that’s remained pretty constant over time. The processors in today’s high end cellphones may contain around 100 million gates, so a team of 100 chip designers working at the gate level would take 80 years to put such a chip together. In reality though, today such chips are often developed in two years or less, as a result of innovations introduced in the chip design flow over the last twenty years. For the purposes of this blog, and since it provides a useful analogy, the innovation we’ll focus on is the introduction of the hardware definition language (HDL). An HDL effectively works like software, allowing the chip designer to describe logic in a way that resembles what it does, as opposed to how it’s built, hence freeing the designer from the details of how that logic operation is implemented in hardware. HDL-based design goes hand in hand with automated synthesis algorithms, which translate those higher level descriptions into the equivalent gates that perform the same function, and which ultimately can be realized in silicon. As a result of these innovations, the semiconductor industry has enabled designers to keep up with the capacity of silicon chips by allowing them to be less and less concerned about the lower level implementation details of the chips they are designing, and put their focus on what those chips actually do. Chip designers take care of the ‘what’, where they can bring their creativity and experience to bear, and automation takes care of the ‘how’ in a reliable and repeatable fashion. Oracle Autonomous Database - Automating a path to innovation The semiconductor industry experience provides a useful blueprint for a path that the data industry must also take, demonstrating why automation is the key to unlocking the potential of today’s data, in the same way that innovation in the semiconductor industry has allowed designers to fully exploit the capacity of silicon chips. Across a range of industries, corporations differentiate themselves by what they do with the data they generate and collect, not in the effort they expend to manage and secure that data. To have maximum impact, database experts need to be able to maximize their focus on what their data is telling them (the ‘what’), and rely on automation to keep that data available and secure (the ‘how’). 95% of the respondents to a recent Oracle user survey noted that they are having difficulty keeping up with the growth in their data, and the majority of data managers are performing multiple major database updates per year. In addition to simply keeping the database up and running, the survey noted that significant manual effort continues to be dedicated to general troubleshooting and tuning, backup/recovery tasks, and provisioning to handle usage peaks and troughs. Data security also stands out as an area that can benefit significantly from automation, not only because automation can reduce manual effort, but because it can reduce risk. In an age where managers of on premises database setups much continuously juggle the urgency of patch installation with the cost of the downtime needed to install those patches, it comes as no surprise that a recent Verizon survey noted that 85% of successful data breaches exploited vulnerabilities for which patches were available for up to a year before the attack occurred. It makes perfect sense to instead make use of Oracle Autonomous Database to automatically apply security patches with no downtime. In total, these automated capabilities reduce administrative costs by 80%, meaning that the Autonomous Enterprise taking advantage of these advances can dedicate significantly more effort to innovation. Coming back to our semiconductor analogy, innovations in how design is done didn’t make chip designers less necessary, rather it made them significantly more productive and enabled them to make more innovative use of advances in technology. We expect the Oracle Autonomous Database to have the same impact for DBAs and data managers in the Autonomous Enterprise. Learn more at Oracle Open World 2019 To learn more about how enterprises who have already become autonomous, visit the sessions below at the 2019 Oracle Open World event – Drop Tank: A Cloud Journey Case Study, Tuesday September 17, 11:15AM – 12:00PM Oracle Autonomous Data Warehouse: Customer Panel, Tuesday September 17, 1:45PM – 2:30PM Oracle Autonomous Transaction Processing Dedicated Deployment: The End User’s Experience, Tuesday September 17, 5:15PM – 6:00PM Managing One Of the Largest IoT Systems in the World With Autonomous Technologies, Wednesday September 18, 9:00AM – 9:45AM

This post was contributed by Senior Principal Product Marketing Director, Ron Craig. Background – data overflow The ability of enterprises to generate data is increasingly outpacing their ability to...

Data Management

Unlocking Hidden Value with Intelligent Automation

This post was contributed by Principal Solution Marketing Director, Kiran Makarla. Inflection Point There’s an incredible amount of data in the world these days—more than 2.5 quintillion bytes of data are created every day, and by 2020 it’s estimated that 1.7 MB of data will be created every second for every person on earth. To manage information of such magnitude, businesses need to be smart. In nearly every industry and market sector, automation will be critical for businesses not only to survive, but to thrive in the years ahead. Forward-looking organizations are embedding artificial intelligence (AI) and machine learning (ML) technologies into their hardware infrastructure, software platforms, and fundamental business processes. They are automating routine activities and learning from the large data sets that enterprises increasingly depend on without overtaxing the IT team. As companies look to increase their competitiveness, new technologies, including AI, are powering analytics and businesses in new ways: to sense, comprehend, act and learn to unlock new economic possibilities that were previously hidden or unreachable. Path to an Intelligence Automation - Future and Its Challenges Maturity underlies positive digital transformation. As with any adoption curve, the path to an automated future won’t be smooth, businesses must drive these initiatives to remain viable. Those that embrace automation will survive the current instability and go on to flourish. These companies will move along the maturity curve, advancing from automating tasks toward autonomous decision-making. “Data that is intelligently managed is easy to process, and machine learning is one of those really cool techniques that takes the advantage of that compute power, cloud storage, and the cloud,” says Dain Hansen, vice president of product marketing at Oracle. With improving the efficiency and quality of processes, intelligent automation enhances decision making by automating the routine tasks and learning from the large data sets enterprises increasingly have access to. There’s a lot at stake, investments in AI and machine learning (ML) is a competitive necessity and the impact of not investing would be a loss of customers and market share, falling behind the competition, and eventually, business failure. One roadblock is a lack of advanced analytical skills within organizations. Automation facilitates innovation when using AI that is built into an application; users don’t have to be AI experts. However, they do need some expertise in analytical thinking and viewing how systems run through a different lens. Another roadblock for some enterprises is change management. As intelligent automation changes the business landscape, it creates new jobs and changes current roles. IT departments will be more empowered but they’ll also need to embrace new processes. For example, patching and securing databases will become more automated, enabling database administrators to offload mundane tasks and transition to analytical activities. Extracting Value with Intelligent Automation Intelligent automation can benefit any industry in terms of effective data use. Right now, organizations leading the way are data intensive companies in industries such as financial services and technology, but all companies that deal with significant amounts of data can benefit, for example, by reducing cost structures.  “AI is not finite; it changes dramatically,” says Hansen. “Every day, every week, there are new techniques, new forms of data ingestion and every day we’re seeing revolutionary new possibilities for how AI can drive new innovations for customers.” Oracle believes Autonomous Databases and cloud technologies are necessary precursors to being able to fully leverage AI—especially for machine learning and deep learning systems that need lots of training data. It’s very difficult to automate the enterprise without a digital backbone and data driven culture. This new intelligence can empower people to do things differently, and do different things, to transform at speed. This helps companies find new efficiencies in their core business that unlocks capital. When those opportunities are seized, companies can continue to grow their core business while setting themselves up to create new businesses. Intelligent functions are key to helping companies unlock trapped value and position themselves for future growth. Conclusion While intelligent automation is more dream than reality today, enterprises are turning to these tools to deal with the massive amount of data that underlies their businesses. Intelligent automation promises to improve efficiency, quality, customer experience, and more. It will have applications in all parts of the business, from IT to human resources, operations to finance. In the end, blending humans with technology can augment the work of people, freeing them to develop skills, contribute more to business success and be fulfilled in their jobs.   To learn more, read the full article here.

This post was contributed by Principal Solution Marketing Director, Kiran Makarla. Inflection Point There’s an incredible amount of data in the world these days—more than 2.5 quintillion bytes of data...

Data Management

Oracle Predictions for Enterprise IT in 2025: The Age of Automation

The rise of autonomous technologies is ushering a new era of consumer and workforce experiences – one that includes higher productivity, reliability, and predictability. Nonetheless, with improved experiences follow higher expectations and companies need to keep up with expanding customer needs in order to stay competitive. In the years to come, automation will become crucial in shaping how customers and IT work and live. Oracle predicts that by 2025, 85% of customer interactions will be automated, more than 50% of data will be managed autonomously, and 70% of IT functions will be completely automated. As a result, the developer community will expand 10x and productivity will increase by 400%. Starting with the consumer, the growing implementation of emerging technologies has led to new standards and expectations within customer service. For example, the prevalence of automated technologies such as voice assistants and chatbots is instilling the value of 24/7 engagement as a basic customer expectation across nearly all markets. Moving forward, emerging technologies will continue to strengthen the performance of automated engagement in which businesses can continuously understand varying context and intent of individual conversations. This automated comprehension of customer needs will then drive new capabilities within predictive recommendations and humanized digital experiences. However, as these experiences continue to mature, so do the demands of consumers. Businesses need to operate efficiently on the back-end in order to effectively meet customer needs on the front-end. IT organizations are expected to deliver high availability and to protect the technology ecosystem all while responding to demands with people, training and process. Looking forward, autonomy of data management and maintenance will enable companies to bring applications online faster, cheaper and more reliably. In automating activities such as patching, updates, and upgrades, data becomes more available, trusted, and secure without the investment of additional skills or people. Cloud services are now evolving to include lifecycle and advanced run-time automation which will ultimately improve application SLAs while lowering operational costs. Meanwhile, as the demand of applications continues to outpace the supply of trained developers, automation will provide new developer capabilities and experiences that will enhance productivity. The newest innovations require mastery of new technologies as well as knowledge disciplines. Features like natural interfaces, language processing, or augmented reality require advanced degrees and expertise that are not widespread. In response, within next-generation environments we can expect to see the growth of “no-code” approaches to development that will hide the technical underpinnings and enable a drag-and-drop of intelligent components into an application. With this, nonprofessional developers can reduce application backlog while line-of-business experts can even build their own solutions where necessary. Automation then takes this to the next level, providing new coding components and simulations that span the entire development lifecycle. Programmers will be able to select software modules to be evaluated, assembled, and debugged using gestures and conversation. This expansion of developer tools will ultimately drive a larger and more effective developer community through new AI-driven capabilities.   Collectively, the value of automation enables companies to re-allocate their resources towards innovative projects and digital transformations. In enforcing trust and consistency within manual maintenance tasks, autonomy is providing business continuity in a way that allows workers to focus less on what is already working and more on what can be done better. Oracle has taken the next step in extreme automation with our first Autonomous Database. Leveraging the power of AI and machine learning, the database provides self-driving, self-securing, and self-repairing attributes. It takes care of the core responsibilities in data management – optimizes resources, reduces human error, mitigates threats and decreases spending with little to no downtime – so our customers can focus on improving business outcomes and driving productivity. To learn more, click here to read the full e-book and try our cloud today.

The rise of autonomous technologies is ushering a new era of consumer and workforce experiences – one that includes higher productivity, reliability, and predictability. Nonetheless, with improved...

PaaS Leader

Oracle Predictions for Enterprise IT in 2025: Security in the Cloud

This post was contributed by Product Marketing Manager, Taylor Lewis. A critical shift in cloud usage has occurred in which organizations are no longer looking at cloud as nice to have. Cloud deployments have transitioned into business-critical initiatives for organizations looking to innovate their business, increase efficiency, and improve security. In fact, the Oracle and KPMG Cloud Threat Report 2019 shared that nearly half of all respondents expect to store the majority of their data in a public cloud by 2020. This promising shift in cloud usage is highlighted in Oracle’s Top 10 Cloud Predictions 2019. The paper highlights several exciting predictions such as the further incorporation of automated and AI technologies into every layer of security. These innovative solutions enable greater accessibility for non-technical business users who are looking for a tool that can be easily managed and reliable. However, this speedy innovation has caused challenges within the organization; securing applications (and your environment as a whole) is more critical than ever. The Cloud Threat Report also found that 93% of respondents are dealing with rogue cloud app usage, in other words, IT organizations are struggling to keep up with their LoBs and the risk of a breach is greater than ever. Risks are Real, The Future can be Promising Organizations are reaping the benefits of cloud usage, but they must also be aware of potential risks. Companies no longer retain the sole control over their data. The rapid roll out of cloud solutions has left many organizations struggling with visibility. These organizations have multiple tools all designed to complete a specialized function, but not intended to integrate together to create a full picture. Understaffed IT security departments simply do not have the bandwidth to piece together all of the notifications from their disparate systems. This vulnerability gap leaves organizations susceptible to attack. The paper predicts 90% of enterprises will use a single identity platform that bridges the visibility gap within hybrid environments. Food for thought when we consider the massive amount of data each user in our organizations may have access to. Standardizing your identity platform on a modern tool designed to meet the needs of both on premises and cloud solutions is critical in protecting not only your users, but also your corporate applications and sensitive data. Organizations also find that with a unified hybrid IAM solution, they are better able to support their security and compliance objectives all while improving user experience and trust. Security Events Will Continue to Rise, How Will You Respond Streamlining tools and increasing automation will be critical as the paper’s ninth prediction states that the number of security events will increase 100x by 2025, and automation will become the most reliable way of preventing, detecting, and mitigating threats. Organizations are pounded with hundreds or even thousands of security events each week. The overwhelming number of events makes it impossible for teams to catch and act on every real threat. So how do we compete with highly sophisticated attackers? The recent Secure and Manage Hybrid Clouds guide, discusses the importance of incorporating AI and machine learning capabilities into your security strategy. Cyber criminals are utilizing automated technologies to blend into your environment and sneakily expose or steal your sensitive information.  Organizations looking to beat these attackers at their own game must bring automation to the forefront and work on better ways to train all employees on security best practices. These small steps can protect an organization’s employees, customers, and brand reputation. With this in mind, Oracle developed its first Autonomous Database that leverages the power of AI and machine learning to fight against advancing security threats. The database provides self-securing and self-repairing capabilities to help reduce risk by avoiding breach costs, possible reputational damage, and revenue loss. In continuation, Oracle’s Cloud is embedded with layers of defense that span across users, apps, data and infrastructure. Its autonomous security services help prevent, detect, respond to, and predict sophisticated security threats starting with the ‘core’ with your data all the way to the ‘edge’ of your network. This enables businesses to fight back against cybercriminals with the support of their own advanced and autonomous machines. As we head into the second half of this year, think about the changes you see on the horizon for organizations in your industry. Any predictions? To learn more, access Oracle’s Top 10 Cloud Predictions 2019 and try our cloud today.  

This post was contributed by Product Marketing Manager, Taylor Lewis. A critical shift in cloud usage has occurred in which organizations are no longer looking at cloud as nice to have....

Business Analytics

How the Autonomous Database Is an Investment to the Human Workforce

A company’s human workforce represents the backbone of any organization, delivering critical talent and resources throughout all parts of the business. The purpose of human resource (HR) departments is to build the optimal workforce by aligning multiple sources of information to make data-driven decisions. They essentially serve to connect and unify – to recruit employees into their business, to align workers with executive demands, and to drive employee engagement for consistent retention.  Each employee brings forth a significant amount of data, from personal information to performance and skills. The challenge here is in integrating different and large sources of data while effectively managing them to deliver actionable insight for a company. With data as the foundation for any organization, every business must face the challenge of scalability as their company expands. Before an organization can gather insight, it must have the bandwidth to store the necessary data. Alliance Data Systems is one of our customers that needed a new home for its HR applications. Rising costs of on-premises data centers combined with slow server provisioning times and insufficient reliability, were hurting the company’s ability to quickly respond to changing business needs. Running on Peoplesoft, its HR application originally took up 30 databases with 25 terabytes of critical financial and HR data from three quarter racks of exadata on-premises. It decided to move its software to Oracle’s Cloud Infrastructure (OCI) and now run 6 environments for Peoplesoft including development, Q/A, user acceptance testing, disaster recovery, production and certification. This enabled the company to replace 3 on-prem exadata quarter racks down to two, for cost savings of more than $1 million per year. Performance increased 30-50% with access to 5 times more memory and 3 times the CPU. Putting it all together, it now has the means to quickly scale up or down computing resources in adjustment to varying demand flow, making it more agile and capable of effectively serving their customers.  Beyond the issue of information storage, the unique challenge of managing HR-related data is the process of turning qualitative, personalized information like employee skills into numerative insight with quantifiable evidence. The difficulty here comes in two parts – with personalized data comes more data, and that data then needs to be intelligently managed. Facing both challenges, Accenture needed an infrastructure to support its data-intensive application that manages the skills, talents and capabilities of employees. Additionally, it needed intelligent and personalized analytics to help make data-driven decisions on what to do with its workforce. Taking a slightly different approach from Alliance Data, Accenture chose to leverage Oracle’s Autonomous Data Warehouse Cloud (ADWC). After migrating its application to ADWC, the application ran 14 times faster than it did in other cloud environments running the same workloads. Next, Accenture added 12 times more data into the system which actually improved performance even more. It was able to load 500M rows of data in less than three minutes, 15 times faster than its previous environment. Furthermore, ADWC provided it with analytics to help the company make faster, more informed decisions about staffing, retention, and quality of service. With the power of data driving today’s innovation, organizations are relying on their technology to collect and manage large amounts of information. In the theme of human resources, technology ultimately serves to empower the human workforce – automating operations to open new job opportunities, utilizing intelligence to attract the best talent, and providing insight to drive employee knowledge and growth. The strength of IT goes beyond the services they provide, but extends to how companies apply those resources to challenge what’s possible and to inspire new innovations. It is the people themselves that bring out the power of these technologies, and this collaboration is giving rise to new experiences within human resources and enterprise norms. Oracle’s Autonomous Database represents one of our most transformative technologies, culminating four decades of database innovation with the integration of machine learning. The database leverages the power of AI and machine learning to provide self-driving, self-securing, and self-repairing attributes. With these capabilities, HR organizations can easily merge disparate data sets, develop reports, and derive insights for workforce planning and talent forecasting. The self-securing features help protect sensitive employee information with automated encryption, exempting companies from risk of breaches due to IT error. In making data accessible and rapidly analyzed, HR departments can make more meaningful and agile decisions without involving or relying on IT. Customers can harness the abundance of data to gain predictive insights into their businesses. All in all, the database is designed to accentuate the human workforce so organizations can run smarter, more efficiently, and more securely to drive better outcomes for their customers. To learn more, try our cloud today.

A company’s human workforce represents the backbone of any organization, delivering critical talent and resources throughout all parts of the business. The purpose of human resource (HR) departments...

PaaS Leader

Oracle Predictions for Enterprise IT in 2025: The Rise of Artificial Intelligence

In any group’s effort to create, influence or drive change, there lies a powerful tool derived from its strength in numbers. However, it is the collective unity of individuals that defines the capacity of these communities, rather than the numbers themselves – and the same can be applied to the data that businesses collect today. While the power of data is no longer in question for modern business leaders, a new challenge has emerged whereby organizations need to effectively gather and apply that information towards their company in order to truly utilize its potential. Serving as the unifier between data and businesses, artificial intelligence (AI) enables companies to act upon huge and growing quantities of data. With this in mind, Oracle predicts that by 2025, all applications will incorporate AI – further distancing themselves from legacy application. As a result, the prevalence of AI (and emerging technologies) will double our productivity. AI helps gather, contextualize, and understand massive quantities of data. Furthermore, the more data and interactions introduced to these intelligent systems, the more accurate their responses become. Its continuous nature highlights its ability to adapt and transform while automating set tasks of maintenance. This two part essence – automating operations and providing insight – enables companies to leverage its human resources towards driving innovation and unlocking new revenue opportunities. In today’s competitive environment, businesses need to effectively create new forms of value for customers through intelligent systems that enable data-driven decisions. To survive within an erratic market, organizations must master the ability to quickly act & react against changing business climates – a quality unique to the capabilities of AI. The growing awareness of AI’s deep learning functionalities has given rise to a new breed of applications, ones capable of improving and adapting to the conditions around it. Conventional back-office applications are becoming legacy and have shifted to encompass innovate front ends and aggressive commercial automation. This evolution has ultimately served to increase human productivity and speed business growth. An MIT study found that companies in the top third of their industry utilized data-driven decision making and were on average, 5% more productive and 6% more profitable than their competitors. These results are driven by the creation of higher-value jobs and new engagement models that are newly possible due to automation technologies. However, what makes AI such a competitive weapon is not simply from its automation services, but from its ability to create new and unique customer experiences. AI is being applied in many exciting ways today, whether it is a sophisticated algorithm based on deep learning to analyze product quality, or a new cognitive user-engagement paradigm for speech, vision, gesture, or touch. With emerging technologies, businesses have the power to adapt and compete successfully within an increasingly digital environment. When aligned with a company’s strategy and workforce, this capacity to be dynamic and to meet evolving customer needs thus becomes a powerful tool within competitive markets.   The growing adoption of emerging technologies and AI represents the transformative culture of today’s business ecosystem. With an AI-based future in mind, Oracle has embedded AI and machine learning capabilities throughout its product portfolio to accommodate human decision-making and automated operational processes. In hopes of steering our customers towards a new world of intelligent business applications, platforms, and processes, we’ve invested in seven core areas: AI-managed and secure infrastructure, AI data management, AI analytics, AI development services, AI services, AI data services, and AI business applications. Furthermore, we’ve combined machine learning with decades of database optimization to deliver the world’s first and only self-driving database. To learn more, click here to read all 10 predictions and try our cloud today.      

In any group’s effort to create, influence or drive change, there lies a powerful tool derived from its strength in numbers. However, it is the collective unity of individuals that defines...

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Scenarios of the Future: Technology to Amplify Our Intent

By Leo Johnson, Partner, PwC Most people have a vision of what the future looks like. Maybe it’s a world of driverless cars, Elon Musk’s tunneling hyperloop, or medical technologies that boost our lifespan to 150 years or more. But what if there was an alternative future that lies outside the bounds of what you believe in today? One that takes us by surprise. I’d like to give you a glimpse at four different possible futures that I presented at Oracle OpenWorld London 2019. Some of these futures may look like bleak prospects. But there’s at least one that is radically better. The future that awaits us, I believe, will be determined by the interplay of two meta-variables: the level of innovation, and the level of centralization. We grew up in the city of Henry Ford, with the economic model of fossil fuel-driven mass production that lifted hundreds of millions of people out of poverty. The first question we need to ask is: Are we moving to a new economic model based on exponential technology, with superior returns driven by data, and the algorithm? Mark Hurd’s answer to that question is a resounding yes. The Oracle CEO predicts that by 2025 artificial intelligence will power 85% of customer interactions; and that by 2020 more than half of business data will be managed autonomously using machine learning algorithms. (Listen to more of Mark’s predictions from his keynote at this year’s Oracle OpenWorld London.) But the second question is, who wins? Who will own this arsenal of technologies? Are we moving to a deployment of technology that is centralized or decentralized? Will it be concentrated in the hands of a few companies or countries, or will it be distributed to empower the many? How you answer these two questions will lead to four very different futures. Let’s take a look. Scenario 1 - Rise of the Machines When I was in Singapore recently, I had the unnerving pleasure of riding in a driverless car. Returning to the Ministry of Transport, I learned something interesting: These autonomous cars were just the first phase of a long-range urban plan. The next phase was economy-wide automation, and to counter the job losses created by autonomous machines, Singapore also plans to introduce a universal basic income for all citizens and to close the city walls to halt migration from climate stricken neighbours. It is a straight line in other words from the technological into the economic, the social, and the political. That is one glimpse into a possible deployment of tech. But what might follow from that highly innovative-but-centralized scenario? What you see is a possible move into another scenario. Scenario 2 - Global Rationing Scenario What are the direct impacts on mainstream business models that might start to emerge from these exponential technologies? Take the British motorway system and its crown jewel, the motorway service station. What will driverless trucks do? They will potentially remove some $300 million off their balance sheets over a 10-year period. Take airports. Driverless cars will cut out up to 20% of their revenue through reduced parking. That’s before 3-D printing takes away an estimated 41% of their air cargo. Go down to the ports. What if drones get good enough to do offshore loading and unloading? But the real issue is not these direct impacts, but the second order effects of reduced demand on the economy. If, as Frey and Osborne projected, 47% of US and UK white collar jobs are lost to automation by 2035, then what will happen to mainstream businesses whose lifeblood depends on consumer demand? The bottom line: When we try to introduce technology at the expense of human intelligence and jobs, there is a risk we start to damage the central pillars of the economy. Tax revenue plummets, just as costs rise with surging unemployment. You end up with an economic system that’s not working for the many. And this can lead to a third, darker scenario. Scenario 3 - Survival of the Fittest Tough economic times tend to fuel populist political movements on both the left and right. But there’s a problem: both sides have “doom loops” baked into them. On the populist left, if your model is to spend your way out of austerity, then the bond market will punish you. On the right, if your answer is to protect your way out of austerity, you face a death waltz – a toxic tango between job loss and protectionism, where more job losses leads to more political pressure for protectionism, which slows down economic activity even more, leading to more job losses…you get the picture. But there is the potential for something radically different. We know technology is not the answer. It is the amplifier of our intent. And the question is: What do we want to do? Scenario 4 - Local Hero We are at a moment in history where it’s not black swans we’re facing, but black elephants in the room, representing the world’s mounting economic, social and environmental challenges. What if we could deploy this arsenal of new technology to create a model of growth by solving those problems of the many? And this is where I think a fourth scenario is not just possible, but credible, and even the dominant scenario for the future. What would it look like? Take one example: the 1.4 billion people in the world who don’t have any power. Then take a very simple tech play: a solar light connected to the Internet of Things. You can lease it to the poorest of the poor for pennies a day – way less than their spending on kerosene or firewood, and it gets rid of all the health impacts. Add to that the potential of micro-banking, micro-insurance with weather-based payouts for floods and droughts, and kick-start hand pumps that triple groundwater production. What you have is a vision of the deployment of tech that is taking incomes up by increasing productivity by a factor of 10. With cloud, open data, APIs, and low-cost micro manufacturing, we are moving away from high-capex, centralized models of mass production to a “local hero” model where the barriers to innovation are starting to drop. The opportunity, if we deploy with the intent not to replace human intelligence but to augment it, is to unlock a new wave of cognitive surplus, and a potential new age of empowerment. As the great political philosopher Marilyn Monroe once said, “Sometimes good things fall apart so that better things can fall into place.” Armed with the right intent, we are at the mother of all Marilyn moments.  Learn about Oracle’s Top 10 Cloud Predictions for the enterprise cloud in 2025, and try our cloud today. ________ Leo Johnson leads PwC's Disruption practice and co-presents the Radio 4 series “FutureProofing”, exploring the impacts of exponential technologies on business and society. Formerly at the World Bank, Leo is the co-founder of the advisory firm Sustainable Finance, now part of the PwC group. He is co-author of “Turnaround Challenge: Business and the City of the Future” (Oxford University Press, 2013) and a Visiting Business Fellow at the Smith School of Enterprise & Environment at Oxford University.    

By Leo Johnson, Partner, PwC Most people have a vision of what the future looks like. Maybe it’s a world of driverless cars, Elon Musk’s tunneling hyperloop, or medical technologies that boost our...

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Oracle Predictions for Enterprise IT in 2025: Workloads in the Cloud

The adoption of cloud technology has been transformative for nearly every business, industry, and product; from providing data continuity to serving as a bridge to emerging technologies, the capabilities of the cloud help define today’s enterprise technology norm. Given the current pace of cloud innovation, Oracle predicts that by 2025, 80% of all enterprise and mission critical workloads will move to the cloud. Enabling this transition will be the development of the second-generation cloud which will offer 100% data-center replacement. In assessment of these predictions, it’s critical to understand why enterprises haven’t already migrated their critical workloads to cloud computing. The design principles for many first-generation clouds were purposed for low-risk workloads utilizing commodity servers and shared tenancy. They weren’t built to support workloads that require real-time processing and that are tied to millions or billions of dollars of revenue. “They were designed so ‘tenants’ of their cloud could share commodity servers and storage to maximize their profits. And that’s fine for disposable test environments and low-risk workloads.” Says Peter Heller, Oracle’s senior director for enterprise architecture marketing in a recent interview with The Wall Street Journal. However, the conventional public cloud is being re-invented to now serve the most demanding business applications. To have 100% data-center replacement, it’s only possible when cloud solutions are afforded the same level of reliability and performance as on-premises technology. As Heller points out, “If cloud providers stayed with this cloud architecture—shared, commodity hardware—that ‘80 percent by 2025’ cloud prediction would never come to pass.” Moving from first-generation towards a next-generation cloud model will drive businesses to have more access to new technologies, better security, improved price performance, and deep automation capabilities. To enable this digital transformation, Oracle released its self-driving, Autonomous Database in Oracle Cloud in March 2018. Leveraging automation technology, Oracle’s second-generation cloud delivers core-to-edge security and eliminates manual tasks such as database tuning, patching, and provisioning. Built on Oracle’s Exadata, the autonomous database provides the foundational infrastructure needed for all types of workloads – AI, traditional, mission-critical, performance-intensive, high-performance computing (HPC) – enabling companies to leave their data centers behind. The unique value of Oracle comes from our complete cloud portfolio with intelligence infused at every layer, spanning infrastructure services, platform services, and applications. Oracle provides deep support of hybrid cloud through interoperability with traditional on-premises applications and systems as well as non-Oracle workloads. With Oracle, the path to cloud is as simple as an upgrade. Customers can leverage their existing investments and skills to new versions that upgrade their capabilities and experiences, while reducing risk and driving greater business value. It’s all part of Oracle’s mission to support customers’ journeys to the cloud, wherever their starting point might be, so they can access an AI-based future today. To learn more, click here to read all 10 predictions and try our cloud today.

The adoption of cloud technology has been transformative for nearly every business, industry, and product; from providing data continuity to serving as a bridge to emerging technologies,...

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The ABCs (and don’t forget the Ds) of Enterprise Cloud Success

By Stephanie Arnette, Managing Director, Accenture Companies that built their business around a patchwork of cloud apps are rethinking their strategy. More and more companies are taking a holistic approach and integrating their apps and data on a single enterprise cloud platform. And it’s paying off with better data integration, greater agility, and faster innovation. But what’s the best way to move to the new enterprise cloud? As a mom with small children, I find myself doing a lot of alphabet games. So I came up with this simple “ABC” formula for enterprise cloud success with a slight modification: don’t forget the “D.” A - Acceleration With the arrival of cloud, the days of long, drawn-out implementations and endless waits for benefits are gone. With cloud apps, you’re off and running fast, and quick wins are the norm. For example, we’ll often show the customer how to leverage cloud automation and mobility to achieve high-priority objectives early on, thus building momentum for the whole project. Of course, customers have different priorities. Some just want to cut IT costs, and most cloud platforms fit that bill. More often, customers want to transform their enterprise and unlock maximum value from their move to the cloud. In those instances, we approach the engagement more holistically, taking the time to help the company define its business objectives and how to measure success.  B – Business Case Definition: Make It a Joint Effort Think of the business case as the “why” of your initiative. Because a lot of money is at stake, you need to have a clear understanding of the value your effort will create. Frequently, Accenture will take the lead in identifying such opportunities. Other times, the client will drive the process. Yet at the end of the day, both sides need to agree on the business case. The joint effort should also include your technology provider, such as Oracle, which brings critical technical expertise, especially around next-generation cloud applications. We recently worked with an enterprise banking company and all three parties – the client, Accenture, and Oracle – got in a room together to define the business case, roadmap, and prioritizations. We called the joint effort our “three-legged stool” since each party provided essential support.   The jointly defined business case also serves as a “North Star” to help guide major decisions, such as customizations or costly integrations. Do these efforts feed into your business case? Sometimes they don’t – and could even prevent you from achieving early wins. A good business case also dictates how you measure success on the back end and determine whether you actually achieved the benefits you were seeking. C – Change Management   One thing we’ve learned from hundreds of enterprise cloud projects is that change management cannot be an afterthought. Moving to the cloud can dramatically change the way people work, so preparing employees for the shift should start early in the project. The other lesson: You need leadership to drive the change and adoption from the top down. A good example is the CIO of a products company we helped migrate to an Oracle cloud platform. His mandate was simple and clear: “This is the way we’re going to operate going forward,” he told the organization. “We’re all on the same boat.” This might be an extreme approach, but it worked. I’ve also seen yearlong consensus-building work as well. But regardless of how you get there, by the time you go live, leadership at the highest level needs to be actively supporting the change and driving adoption across the company. How do you get everybody on board? Techniques vary, but in the case of the products company, the CIO gathered other top execs offsite in a creative setting to incubate the plan and make sure everyone clearly understood – and fully bought into – the vision. Rather than sending out a pro-forma email, the company turned the process into a fun, engaging activity. D – Don’t Forget Data! Early wins, great business cases, and solid change management are all keys to enterprise cloud success. But if you forget about your data – its security, quality, and more – you could run into show-stopping issues at the end of your otherwise well-executed enterprise cloud initiative.  You absolutely must take the time upfront to understand your data landscape. Where does your data reside? Where is it replicated and accessed? If it’s shuttled across multiple systems, you could run into app-integration and performance troubles when you turn on your cloud platform. This alone could be a deal breaker, because even if you have a really cool application, if it’s painfully slow, nobody is going to use it. The same goes for data quality. If your people can’t retrieve accurate data from your application interface – no matter how beautiful it is – don't expect robust adoption rates. In fact, each one of your “ABCs” will suffer. You’re unlikely to accelerate your business and get quick wins when people are turned off by poor data on day one. Your business case won’t fly if you haven’t thought through data quality issues. And change management will be really tough if people don’t trust the data in your new system. All of this is why Accenture and Oracle have worked together for years to perfect the art and science of enterprise data management. Learn more at www.accenture.com/oracle.

By Stephanie Arnette, Managing Director, Accenture Companies that built their business around a patchwork of cloud apps are rethinking their strategy. More and more companies are taking a holistic...

Putting ZING in your Pricing?

As cloud capabilities expand, it is expected that 80% of Enterprise customers will move all their workloads to the cloud. Oracle offers two unique programs to help preserve your Oracle investments while you upgrade to the cloud. The first is Bring Your Own License (BYOL) that allow simple transferring of on-premises software licenses to the cloud. The second is Universal Credits that allow easy transferability of an Oracle bank of credits across platforms.  These two work together to make it easy to preserve your investments and do business with Oracle.  But that’s not all, this pricing model is also competitive. Oracle makes a serious claim, “Guaranteed to cut your AWS bill in half.”  In this article, I’ll illustrate -how our pricing works, -what are the benefits for Oracle customers, and -why competitor cloud services end up being more expensive. Few workload scenarios Developer Environments go through frequent provisioning and de-provisioning of services, therefore a high need for multiple server sizes and access to various cloud services. It is hard to predict needs for running volume test suites and dev-ops. So, Flexibility across services and pay-per-use Elasticity are crucial for these workloads. Having a uniform billing vehicle across all services helps reduce effort and time. Typical over spending looks like this- Production Environments requires Service Level Agreements (SLAs) and it is much easier to predict needs in a production environment. Having a uniform billing vehicle across all services reduce effort and time. Oracle provides a key incentive on your journey from on-premises to the cloud. On Premises to Cloud Production involves older investments in software licenses, possibly Unlimited License Agreements (ULAs.) So, customers would experience loss of investments if moving to the cloud. This often delays cloud adoption until end of ULA term. Challenges Wouldn’t it be amazing to be able to conduct business with ease, while having investment flexibility and investment preservation without any IT spend lockins? How often are you forced to choose between ‘flexibility and lower costs?’ To get the lowest cost, you need to know precisely what you need before you know it. That’s hard for most development projects.  You must either pay a premium with on-demand/ pay-as-you-go models or you must know the exact shape and size of servers to get lower prices with term contracts. Dream solution An ideal solution to these challenges would be a simple and more affordable way to move to the cloud, providing flexibility and choice in –how, -what, and –where to use cloud services. An unrestricted access to all services with a single uniform billing vehicle and license mobility across on-premises and the cloud. Simplified buying and consumption of cloud, unlocking greater value from existing on-premises software investments. Oracle pricing strategy What companies really want is a pay as you go model, like this- How Oracle Universal Credits work Oracle Universal Credits is a flexible buying and consumption model for cloud with a single set of credits for all current and future PaaS / IaaS services, with one simple contract and lower prices based on monthly dollar commitment and flexibility to upgrade, expand, or move services across datacenters. All services are priced hourly based on a rate card, and Universal Credit pricing starts at $1,000 /month and a discounted Universal Credit pricing starts at $5,000 /month. Pay As You Go (PAYG) and Monthly Flex are two consumption choices available for customers consuming Oracle IaaS and PaaS. PAYG offers no upfront commitment and customers pay only for what is used in arrears. It offers a standard list price and best when usage is uncertain with elastic payments based on usage. On the other hand, Monthly Flex includes a 1 year minimum term with an agreed to monthly spend. Monthly Flex offers 33%- >60% savings over PAYG pricing and discounts based on size of deal and term of deal with lowest cost without sacrificing flexibility. Here is an illustration to show how Oracle Universal Credits compares with other cloud vendor reserved pricing models.                                                               With a Reserved Pricing model, customers get the lowest price, however, they need to know the demand and number of OCPUs to support during their peak seasons. So, shape and size of the server are fixed and cannot change within a contract term. With Oracle Universal Credit pricing, customers get the lowest price and also have the flexibility to follow the demand curve. So, you do not have to plan ahead for your consumption, and you get billed for only what you use.  How Bring-Your-Own-License (BYOL) works BYOL version of a cloud service is activated at the rate of activated cloud service when sufficient supported on-premises licenses exists. The license types that apply towards BYOL cloud services environment include- Full Use, Limited Use, Application Specific Full Use, and Proprietary Hosting. License ‘type’ retains its ‘type’ when applied towards BYOL cloud service environment (e.g., ‘Full Use’ stays as ‘Full Use’ and ‘Limited Use’ stays as ‘Limited Use’). Licenses applied towards requirements for a BYOL version of a cloud service are deemed deployed and in use and cannot be used on premise. License quantities can be aggregated to meet license requirement for that BYOL cloud service, when multiple program licenses are identified as eligible to apply. Customers with ULAs can benefit the most with BYOL program, as they can make the best use of BYOL pricing to upgrade to cloud without limitations. Here is a list of different types of BYOL offered by Oracle, BYOL to IaaS has existed for some time and offered by few cloud vendors. Customers can move their infrastructure entitlements to the cloud offered by the same or a different vendor. BYOL to PaaS is new and offered by Oracle to move your on-premises software entitlements to the cloud to access an equivalent service available as a cloud service. License included PaaS allows purchasing new PaaS licenses to access all cloud services.  Below is an illustration of service level differentiation, whether ‘Oracle managed’ or ‘Customer managed’ for each of these BYOL types. With BYOL to IaaS, Oracle provides Compute, while Customer is responsible for Software License and Support Management. With BYOL to PaaS, Oracle provides Compute & Automation, while Customer is responsible for Software License and Support Management. And with License included PaaS, Oracle provides all of Compute, Automation, Software License, and Support Management. BYOL to PaaS helps leverage existing on-premises Oracle software investments via license mobility, reducing up to 95% of License included PaaS price. PaaS automation reduces management & operational costs, significantly lowering TCO for running Oracle on Oracle cloud vs. Oracle on any other cloud. License mobility via BYOL On-premises licenses have licensed software, data resides at Customer data center and managed by Customers. Oracle Cloud services can be purchased via BYOL to PaaS. In this case, data resides at Oracle Cloud data center and Oracle managed. Cloud at Customer services can be purchased via BYOL to PaaS. In this case, data resides at Customer data center and Oracle managed. How BYOL to PaaS program works Customers can move on-premises entitlements to PaaS- There are many different conversion scenarios to show the mobility of on-premises Oracle Licenses to Oracle Cloud service offerings, I am elaborating two such scenarios below. Example 1 above shows that Weblogic entitlement can move to Java Cloud Service BYOL, and Example 2 shows that Database Enterprise Edition entitlement can move to -Autonomous Data Warehouse BYOL or -Autonomous Transaction Processing BYOL or -Exadata Cloud service BYOL. Customers can avail only the licensed features in the equivalent cloud service- An example to show this case would be, when moving the entitlement of on-premises Database Enterprise Edition (DB EE) & Partitioning to the cloud, customer can only use DBEE & Partitioning in PaaS. Licenses can either be deployed on-premises or in the cloud, and customer can continue to pay for license support. BYOL to PaaS is significantly cheaper than license included PaaS- For example, it is 95% cheaper in the case of Enterprise Analytics License Included PaaS (USD 4.0323**) vs BYOL to PaaS (USD 0.1935**) Return on Investment measurement For a new customer, Oracle Database on Oracle PaaS is less expensive than other cloud vendors. The cost of Oracle PaaS is USD 400, which includes license and license support, management (provision, patch, backup, etc.), security & ease of use features. While most other cloud vendors are priced atleast 12% higher, and only include license and license support; customers need to upgrade for management, transparent data encryption, data masking, real application testing, diagnostics and tuning for an additional cost. Most other cloud vendors do not support RAC, data guard, multitenant, database vault.               For an existing customer, Oracle BYOL to PaaS is less expensive than Oracle on other clouds. Oracle PaaS costs USD 253, which includes cloud services, license support, management, and security & ease of use features. While competitor clouds costs almost 12% higher which most often only include cloud services & license support, customers can upgrade with an additional cost for management, and security & ease of use features. Customer success In the past 12 months, 1000s of customers have benefited from Oracle’s Universal Credits and BYOL programs. Drop Tank, is a loyalty technology and rewards company focused on the fuel and convenience industry in Illinois. They were looking to automate their development and production environments for better usage predictions to prevent unused capacity. Drop Tank succeeded with Oracle Integration Cloud and Autonomous Data Warehouse. With Universal Credits model they achieved the flexibility to spin-up platform services as needed, anytime to scale elastically at the lowest cost. SAGA, is a large systems integration company headquartered in Serbia and serving in 26 countries. They were looking for speed and flexibility to spin up new development environments fast and at the lowest cost possible. SAGA succeeded with Oracle Cloud, and through Universal Credits they achieved the flexibility to try different approaches to test and develop without exceeding budgets, and innovate faster. In summary, these Customer First Pricing Programs for buying and consuming cloud services, Universal Credits and Bring Your Own License (BYOL), help customers get more value from existing Oracle software investments with more choice, flexibility, and transparency. These programs offer the ‘Pay-As-You-Go flexibility at the lowest price possible’ to try, buy and succeed with Oracle Cloud services. ** Pricing as of date, reference https://cloud.oracle.com/en_US/ucpricing Disclaimer: “The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, timing, and pricing of any features or functionality described for Oracle’s products may change and remains at the sole discretion of Oracle Corporation.”

As cloud capabilities expand, it is expected that 80% of Enterprise customers will move all their workloads to the cloud. Oracle offers two unique programs to help preserve your Oracle investments...

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Oracle’s Top 10 Cloud Predictions 2019: Overview

Cloud technology and its adoption have been transformative for the enterprise, by re-defining what’s possible and speeding the pace of innovation. Companies are no longer experimenting with new emerging technologies – artificial intelligence (AI), blockchain, digital assistants, containers, serverless, and the Internet of Things (IoT) – but are now applying them in meaningful ways across their operations. These technologies enable companies to drive new business, create new value, and build more sophisticated applications than ever before. Looking forward, Oracle explores what the enterprise IT world will look like in 2025 as the adoption of cloud rises. Prediction: Second-generation cloud providers will offer 100% data-center replacement. No matter how your cloud journey begins, all routes lead to the same destination – running your entire company in the cloud. The cloud provides the foundational infrastructure needed to support all types of workloads through its core capabilities within flexibility, reliability, and performance. Prediction: 80% of all enterprise (and mission-critical) workloads will move to the cloud. Companies cannot afford to suffer any downtime for their mission-critical applications and are leaving their enterprise data center behind. The considerations from moving all and critical workloads to the cloud come from its flexibility, reliability, and performance capabilities. These core capabilities provide the foundation for all types of workloads – AI, traditional, mission-critical, performance-intensive, and high-performance computing (HPC).  Prediction: All applications will incorporate AI-further distancing themselves from legacy applications. What’s driving this shift is the rise of the second-generation cloud and its bridge to new innovations. AI provides us with the ability to gather, contextualize, understand and act upon huge and continuously growing quantities of data. Its deep learning capabilities have enabled a new breed of adaptive applications and continue to empower human productivity and innovation. Soon, all applications will incorporate AI, for example, which will distance themselves from legacy applications. Prediction: AI (and emerging technologies) will double our productivity. Furthermore, AI, in alignment with emerging technologies, is expected to double productivity by 2025 compared to today’s operations. AI changes the productivity equation for many jobs by automating activities and adapting current jobs to solve more complex time-consuming problems. This enables companies to shift their resources away from maintenance and focus on creating higher-value jobs and new engagement models that encourage business growth.  Prediction: 85% of customer interactions will be automated. Automated engagement is becoming a customer expectation across nearly all markets, with 85% of all interactions predicted to be automated by 2025. These experiences include natural interactions, easy engagement, predictive recommendations, and friction-free journeys led by AI and its ability to understand context across all communication scenarios. Prediction: The developer community will expand 10x and productivity will increase by 400%. AI and automation are enhancing the developer community through the elimination of manual tasks and time-consuming problems. These next-generation environments will allow developers to drive more value through capabilities like “no-code” development that allow non-professionals to build their own solutions, as well as virtual worlds and simulations that span the entire development lifecycle and can be accessed using gestures and conversations. Prediction: More than 50% of data will be managed autonomously. The capabilities of autonomy enable IT to bring applications online faster, cheaper, and more reliably without investing in additional skills or people. With Oracle Autonomous Database, we provide the self-driving, self-securing, and self-repairing capabilities that enable companies to shift resources to focus on new innovations.  Prediction: 70% of IT functions will be completely automated. As automation capabilities improve, so will reliability, availability, scalability, and application SLAs. Cloud services have evolved to include lifecycle and advanced run-time automation of maintenance activities such as patching, updates, and upgrades – enabling developers to work more innovatively and businesses to run more effectively. Prediction: 90% of enterprises will use a single identity platform that bridges premises and the cloud. Nonetheless, these cloud environments are only feasible if granted the necessary security to protect their mission-critical data against internal and external threats. Some of the major challenges companies face include having multiple identity provisioning platforms across on premises and cloud, as well as analyzing security event telemetry at scale. Enterprises must leverage IAM (identity and access management) technologies that cross hybrid cloud for a unified platform that stretches into all applications and services. Prediction: The number of security events will increase 100x, and automation will become the most reliable way of preventing, detecting, and mitigating threats. Organizations will also need to employ cloud-based AI to defend against malicious threats using nonlinear (usually AI-based) techniques to hide amongst legitimate human-based traffic. The underlying strategy provides administrate security technologies that span the entire enterprise IT estate from core-to-edge. Oracle Cloud As emerging technologies continue to drive the enterprise towards a fully cloud-based future, companies are no longer asking themselves why they should move to cloud, but rather how they can get there. With Oracle, that path is as simple as an upgrade. Oracle provides a simple upgrade path for customers so businesses can leverage their existing investments and skills towards new capabilities and experiences. Together, these 2025 predictions demonstrate the need for a complete enterprise cloud approach in the years to come, and provide a future-facing view of how businesses will need to plan their move to a cloud-native IT environment. Stay tuned for upcoming posts that explore these predictions further. To learn more, click here to read the full e-book and try our cloud today.   

Cloud technology and its adoption have been transformative for the enterprise, by re-defining what’s possible and speeding the pace of innovation. Companies are no longer experimenting with...

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How Oracle Autonomous Database helps National Pharmacies transform patient data

This post was contributed by Oracle's Director of Cloud PR & Communications, EMEA & JAPAC, Rebecca English. A person might see hundreds of healthcare providers throughout their lifetime. And with each provider, patient data continues to spread across hundreds of different IT systems and databases. These legacy systems often have limited capabilities for sharing and for integration. As a result, key information related to a patient’s health and symptoms may not be readily available when it's needed. Adelaide-based healthcare provider National Pharmacies is determined to change this model. The company owns and operates 80 plus pharmacies and optical specialist stores across southern Australia. And while it might be more than 100 years old, National Pharmacies is taking a modern approach to creating a data-driven patient experience. According to National Pharmacies’ corporate executive general manager Ryan Klose, by bringing different sources of data together, better outcomes can be created for patients. “To be healthy allows us to enjoy the luxuries in life – and that is our mission at National Pharmacies. By pulling all the fragmented data together across their different interactions, that’s when the dots start to join,” says Klose. “This means that when a patient goes to see a healthcare professional at any time, that doctor or specialist or whoever, subject to authorizations, has all of the data at their fingertips and can make an informed decision.” But to have that single view, in real time, isn’t easy. For a start, transactions are processed on average every two minutes from the pharmacies. Additionally, one of the key issues in healthcare is the fact that many systems are legacy systems and difficult to tie together. This task has been made significantly easier through National Pharmacies’ adoption of Oracle’s Autonomous Transaction Processing. The database service is being used to stream data securely from the Point of Sale systems from its many different stores into one repository to form a complete picture of each patient at any moment in time. As well as transaction data, it can also bring in information regarding products, or even external factors such as weather. From a patient health perspective, this means staff can make better recommendations on treatments based on prior purchases, reactions and experience, leading to better health outcomes. And this data can be accessed from a handheld device, this enables staff members to stay with the patient throughout the entire consulting process. “And for the patient, if they want to go online to check their previous transaction at any time, it will be there instantly for them.” “Ultimately what we are looking to do is ensure we are providing the best customer experience, and as part of that, have the right product on the right shelf at the right time,” Klose says. “So if any of our patients walk into a store, the product they may be looking for is there and available.” An additional benefit, Klose says is because the autonomous technology has proven so easy to use, and much of the work takes places with minimal human intervention, it is also freeing up the time of National Pharmacies’ technology professionals to work on higher-value tasks. “Our DBAs or data people are often caught up working on platform technologies,” Klose says. “For us to lift them to the frontline, where they can use that expertise and skills to work on intelligence and knowledge distribution, is going to be key for us and is going to allow us to future-proof our organization. As an IT group, it means we can really be there for every revenue and profit opportunity for the organization.” By freeing up resources, this will enable National Pharmacies to more quickly draw benefit from its existing use of emerging chatbot, mobile, online, and social technologies to support better patient outcomes. “The challenge - and opportunity - we are seeing in all of these emerging technologies is data,” Klose says. “It really is exploding everywhere. To be able to harness that data, or even bring that data together in one area to create informed intelligence is going to help us bring a level of service to our patients that our competition will need to catch up to.” And Klose believes this capability will become more important still as customer expectations continue to rise. “Consumers are asking for the same experience they have been enjoying in retail or other industries. People are now expecting this in healthcare, so having the right technologies is paramount. Whether they are talking to Alexa or a chatbot on the phone, or they are talking to a human being, all these interactions are just different channels,” Klose says. “So for all these technologies, ultimately it is the data that really brings that true digital experience forward." Oracle Autonomous Database helps customers accelerate time to innovation, time to market, and time to insights. By eliminating manual operational tasks, this enables resources to see the signals and adapt faster. Our customers can harness the abundance of data to gain predictive insights into their businesses and ultimately drive better outcomes for their customers. Learn more about the Oracle Autonomous Database, and try it today.

This post was contributed by Oracle's Director of Cloud PR & Communications, EMEA & JAPAC, Rebecca English. A person might see hundreds of healthcare providers throughout their lifetime. And with each...

Data Management

How Accenture Uses Oracle Autonomous Database to Deliver Better Outcomes

This post was contributed by Oracle's Director of Cloud PR & Communications, EMEA & JAPAC, Rebecca English Today, companies can be challenged to make full use of their technology investments, especially with the adoption and use of new, emerging technologies. To this end, organizations around the world rely on companies like Accenture to provide consulting and implementation skills to help them derive the most value from these investments. Conversely, it is essential that businesses like Accenture have the talent needed when clients call on them, while also being prudent not to over-invest in skills that aren’t in demand. “Our priority is to bring the right skills at the right time to the right project,” says Clark Kho, a senior technology architect in Accenture’s Oracle Business Group, based in the Philippines. “We have robust up-skilling and training programs for the latest technologies, which our people are taking full advantage of to keep themselves on their ‘A-game’.” Accenture employs over 54,000 Oracle-skilled professionals around the world who continuously evolve their skills to meet the latest – and future – client needs. To ensure the organization maintains these skills, the company created a comprehensive database of relevant information on its people, the engagements they have worked on, and training received, so it can identify talent and gaps. So when it came time for Accenture to test Oracle’s Autonomous Data Warehouse (ADW) technology to determine how it might provide business value back to Accenture’s customers, it made sense to try it out on one of Accenture’s own data assets – the skills database. Kho and his team took four months of production data from Accenture’s existing Oracle Database Cloud Service (DBCS) and fed it into ADW. Kho says the autonomous technology immediately demonstrated value by ingesting more than 500 million rows of data in under three minutes. He and his team subsequently put the database through its paces by running scenarios that would take a regular cloud database offline for 30 minutes or so, such as dynamically increasing the CPU and disk the platform can consume. “But with the autonomous solution, the database remained online – it never went down,” Kho says. He says this aligns well with the increasingly routine requirement from clients to have their data accessible at any time. “The fact you have an autonomous system that can deliver literally 24/7 data is a big game changer,” he says. Even as Kho and his team increased the data load, the autonomous database continued to meet the performance needs. “When we loaded more data it actually became more stable and performed better, which was interesting,” Kho says. “Data veracity is one of the key trends we identified in our 2018 Accenture Technology Vision for Oracle, as we recognize the growing importance for having trust in data to deliver better insights and decisions. “With one click of a button we now have the ability to give more back to the business users, helping to democratize data and enabling them to be more independent.” He was also impressed by the technology’s ability to self-patch. “Most organizations don’t patch immediately,” Kho says. “Being able to patch the database ‘behind the curtains’ provides peace of mind around security – it isn’t as large of a concern.” Cumulatively, these benefits translate into better performance for the organization and a reduced workload in terms of routine maintenance tasks for database administrators (DBAs) and other support teams. “In the old days, you would need DBAs to create these databases, and it would take days to build,” Kho says. “But with autonomous capabilities, that time and manpower is free to take on more thoughtful responsibilities, rather than having to perform the mundane tasks of patching, backups, monitoring, and tuning.” Kho believes the ability to use autonomous technology to build databases quickly will be invaluable to clients, as it will enable them to test new ideas. “I was blown away by Oracle’s Database Cloud Service’s ability to provision a database in the cloud in under an hour,” Kho says. “Now with autonomous, it’s within minutes. It is literally building something at the speed of thought. Users can create data marts, gather the data they need, load all the data, and then crunch these queries equally fast. They can experiment faster and drive value faster. I firmly believe that autonomous technology can help people go beyond the limitations of IT to drive value.” Kho believes the adoption of autonomous technology will lead to a partnership between humans and technology. “This is how organizations need to transform,” Kho says. “Technology will constantly evolve, so let the machines and the humans each do what they do best, and your organization will reap the benefits of the best of both worlds.” This groundbreaking Oracle Database technology automates data management to deliver availability, performance, and security – at a significantly lower cost. The Autonomous Data Warehouse delivers all of the performance of a market-leading Database, in a fully managed environment that is tuned and optimized for data warehouse workloads. To learn more about Oracle Autonomous, read more here and try it today.

This post was contributed by Oracle's Director of Cloud PR & Communications, EMEA & JAPAC, Rebecca English Today, companies can be challenged to make full use of their technology investments,...

Strategy and Leadership

Oracle’s Latest Innovations: Digital Assistants & Blockchain

Today, we’re seeing emerging technologies permeate every aspect of work and life. Companies are using them to build mission critical apps, drive new business models, and create new business value. The real opportunities of these technologies - AI, ML, IoT, Blockchain, Containers and Serverless, and Human Interfaces – is to enable our customers to embrace innovation on a scale like we’ve never seen before. At OpenWorld this year, Oracle demonstrated our implementation of these new technologies and our focus on providing companies with the building blocks to disrupt entire industries. In case you missed this year’s OpenWorld, we’ve included a recap of two key platform and app product releases: Digital Assistants, and Blockchain.    Digital Assistant At OpenWorld this year, Larry Ellison demonstrated the new Digital Assistant capabilities with Alexa in his keynote presentation "Oracle Fusion Cloud Applications". Building on earlier implementations of chatbots, Oracle's Digital Assistant enables companies to build personalized digital assistants to help employees work smart and more productively. It contains pre-built skills and connects your back-end applications so you have one single experience across all of your business applications. With Oracle Digital Assistant, it can support domain skills from multiple applications such as HR, ERP, CRM, and CX. The platform is embedded with artificial intelligence to provide a unique contextual engine for speech and image recognition, intent detection, and multilingual neuro-linguistic programming (NLP) and natural language understanding (NLU). Oracle’s Digital Assistant also supports popular messaging platforms including Slack, Facebook Messenger, WeChat, and Alexa. Through Alexa, he was able to ask Oracle’s Digital Assistant questions on topics such as Oracle’s campus hiring statistics in 2017 as well as receive an answer within seconds. With Oracle’s Digital Assistant, it makes information easily accessible to technical and non-technical users, enabling a more cohesive workforce in which lines of businesses can focus less on gathering data and more on applying that information with other teams to drive innovation.   Blockchain During Amit Zavery's session, "The Next Big Things for Oracle Cloud Platform", we heard from a global shipment management software solutions provider, CargoSmart.ai, that is using Oracle Blockchain Cloud Service. Since their company works with multiple businesses that interact with the shipment of data, they needed a solution to provide real-time information and to help establish trust between involved parties. In alignment with IoT technology, Oracle Blockchain restructured their operations strategies by providing them with the ability to Track and Trace every vessel and container as well as their conditions to easily identify problems with shipments. With the recurring theme of security and trust circling this year’s OpenWorld, Oracle Blockchain adds a unique value by enforcing accountability between involved groups. The elimination of distrust is essentially what drives collaboration and encourages companies to share information instead of protecting it. Building on the release of our Blockchain Cloud Service, we also launched Oracle Blockchain Applications Cloud which includes several new Business Applications that use Oracle Blockchain technology for common use-cases. This includes track and trace, provenance identification, warranty and usage, and cold chain. The plug-and-play ability with Oracle and third-party applications results in faster integration with diverse systems of record, and accelerating time to market. Learn more about our Blockchain Cloud Service and new business apps. Oracle has made emerging tech pervasive throughout all of our cloud offerings. With these new capabilities, Oracle enables companies of all sizes to change their approaches to IT, and reimagine what’s possible. To learn more, click here to watch the keynotes and sessions from this year’s OpenWorld.  

Today, we’re seeing emerging technologies permeate every aspect of work and life. Companies are using them to build mission critical apps, drive new business models, and create new business value. The...

PaaS Leader

How Oracle Autonomous Database Is Enabling Breakthroughs in Healthcare

This post was contributed by Oracle's Director of Cloud PR & Communications, EMEA & JAPAC, Rebecca English. Applying data analytics to healthcare is leading to incredible breakthroughs in everything from early disease detection and genetic exploration, to drug discovery and efficacy testing. The ability to analyze the human genome is leading to new forms of precision medicine where treatments are tailored not just to specific diseases, but also to different patient cohorts, based on their DNA. While it has long been known that some treatments are more effective with some patients than others, data-driven precision medicine can give a clearer insight into exactly which patients will respond most favorably. This also provides guidance on the percentage of the total patient pool they represent. But the sheer complexity of the foundational component of digital healthcare - the human genome – means the processing power and data volumes required are substantial. It is the extreme end of the data challenge companies face in terms of size and complexity. It’s so big that it may in fact require 100 Gigabytes of storage for each genome. Some say, we’ll see over 2 billion human genomes stored by 2025. If digital healthcare researchers are to progress their work, and bring tests and treatments to market, it is critical they have access to systems and processes that enable them to analyze the huge volumes of data required. It is a challenge that is well suited to a new category of technology – Oracle's Autonomous Database. For the Australian company Applied Precision Medicine (APM) Pty Ltd, this technology is helping it quickly build the data analytics platform its research and pharmaceutical clients use to create tests that determine the effectiveness of new treatments. APM helps researchers take their concepts from an early ‘bench’ stage through to assembling a fully-engineered system that meets all regulatory compliance requirements. Reduce Administrative Costs According to APM’s managing director Richard Rendell, using Oracle’s Autonomous Database takes out much of the human effort required in data ingestion and matching, while also ensuring its platforms meet global requirements for security and privacy. “We have to use data warehouse capabilities to look at the data to determine how relevancies are occurring,” Rendell says. “But DNA data is enormous - we have the potential of generating almost a terabyte per person from their DNA.  Data sets can run into a petabyte for just 1200 patients." “This technology gives us the ability to build something that is robust, enterprise-grade, clinically-acceptable, and HIPAA compliant, and be able to do that very, very quickly.” Using Oracle’s Autonomous Data Warehouse, Rendell says APM can spin up a server, create the data warehouse, and begin ingesting data in a matter of minutes. “In the past it took a huge amount of effort and quite a significant amount of time to do that,” Rendell says. “That’s a whole lot of cost that we don’t have to pass on to the customer, and we can do it with fewer people and get on with the higher value tasks.” Another key benefit comes via Oracle’s integration tools. Rendell says data sets often come in different formats, ranging from basic comma separated files to JSON, XML and the HL7 files commonly used in healthcare. Genetic data has over a dozen specific file formats that are used regularly. "A major part of the effort is doing the data integration,” Rendell says. “We need building blocks we can rely on, so that we don’t have to bring in an army of people to do DevOps or DBA work.” Rendell says not only does Oracle’s Autonomous Database deliver commercial benefits for APM and its clients, it also creates a high degree of confidence that the platforms being used to run the tests are robust and compliant with regulations. Reduce Risk He says another key benefit of the Oracle Autonomous Database is that it is self-securing, which can prevent many of the types of data breaches currently witnessed in healthcare in the United States. “What we know from breach reporting in the U.S. is that about 59 percent of the breaches that happen are internal,” Rendell says. “So they aren’t systems being hacked, but people who are inside the organizations who are not following procedures or who are not exercising appropriate behaviors as far as the system access and policies are concerned.” The ability for autonomous technology to manage user access and self-patch, along with its default application of encryption, reduces the burden on Rendell and his staff. “I am ticking a lot of boxes by clicking a button and starting a warehouse. I haven’t had to put a single person on it,” Rendell says. “Having the encryption managed is very nice because we can just start these things up and build them out for particular customers.” Ultimately, this leads to faster results for researchers and pharmaceutical companies, leading to reduced costs and time to market.  “Our role is to get them to that commercial end point,” Rendell says. “The greatest benefit is being able to help the customer commercialize quickly and confidently. “It is a nice way to use artificial intelligence to specifically achieve a task which you can train it very carefully for.” And critically, that also means that treatments are available to patients faster, and with a higher degree of confidence. Oracle is redefining what’s possible with autonomous  – improving outcomes not only for our customers but also the people they serve. Research and healthcare providers now have the means to unlock their potential like never before. Using the power of autonomous, they can run their organizations more efficiently, see the signals faster, and harness the abundance of data to gain predictive insights. Our customers can use autonomous technologies to drive real innovation and real change for the healthcare industry. To learn more about Oracle Autonomous Database, read more here and try it today.

This post was contributed by Oracle's Director of Cloud PR & Communications, EMEA & JAPAC, Rebecca English. Applying data analytics to healthcare is leading to incredible breakthroughs in everything...

Strategy and Leadership

Autonomous and Security - Key Themes at Oracle OpenWorld 2018

This post was contributed by Product Marketing Analyst, Cassie Chen.  This year, Larry Ellison kicked off OpenWorld by talking about Oracle’s new “Star Wars” cyber-defensive functions from our Cloud Infrastructure. This second-generation Oracle Cloud Infrastructure includes a re-architected software and hardware to enable a dedicated network of cloud control computers. The new design is meant to create an isolated network with separate cloud control computers to run on bare-metal. And finally, this includes a layer of security that runs through each individual customer zone as well as Oracle’s own control code so computers can’t be tampered with or accessed by users other than yourself.  Next, we heard from Mark Hurd. In his keynote, he carried out this theme of security. He discussed the concept of our defensive battle against cyber threats and the importance of AI investment. With a larger surface area, companies face new threats that are becoming increasingly complex and more difficult to prevent. Security teams at organizations of every size are struggling to keep pace with these persistent attacks. Businesses can use the advanced security capabilities that Oracle provides in order to protect themselves from these cyber-attacks. And, they can use a platform that is autonomous – leverages the power of AI and machine learning to provide self-driving, self-securing, and self-repairing capabilities.  Using power of Autonomous, our customers now have a means to unlock their potential like never before. And while they’re different size companies working across different industries, what they have in common is how each has embraced our autonomous capabilities as a way to transform how they do business. In Steve Daheb’s general session, we heard firsthand from some of these customers. First, he introduced Erik Dvergsnes from Aker BP to join him on stage. Using Oracle’s Autonomous Data Warehouse Cloud, they spoke about how this enabled them to consolidate multiple databases, keep track of a decade’s worth of data about alarms on their off-shore rigs, and run reports in optimal speed. They can now run reports on 1.2 billion rows in seconds versus what used to take 20 minutes. Then, he brought up Michael Morales, CEO of Quality Metrics Partners, a lab management and medical testing company that’s using Autonomous Database to reduce the amount of time patients have to wait for lab results. We heard how they used Oracle’s Autonomous Database and Oracle’s cloud to scale their business model – supporting over 9x growth.  The Autonomous Database takes care of the core responsibilities in data management – optimizes resources, reduces human error, mitigates threats and decreases spending with little to no downtime. In addition to the autonomous capabilities, we also heard during OpenWorld more about Oracle’s comprehensive security portfolio. It provides multiple layers of defense. This includes preventative controls to intercept data leaks and unauthorized users; a web firewall to inspect, identify and block malicious traffic; log analytics to track and trace all logs including 3rdparty logs; and DDoS to detect and mitigate attacks through network isolation.  Oracle has delivered to the market an incredible amount of innovation and we're seeing customer momentum across the entire Oracle Cloud. And we provide customers with the ability to focus on the things that truly matter – their business and their customers. The automation of repetitive DBA tasks and the ability to reduce security threats collectively work to save hours on maintenance to put towards new innovations. Read more about a groundbreaking security study by Oracle and KPMG on the growing threat landscape. To learn more about Oracle Autonomous, read more here and try it today. In case you missed it, watch this year’s keynotes and sessions at OpenWorld.

This post was contributed by Product Marketing Analyst, Cassie Chen.  This year, Larry Ellison kicked off OpenWorld by talking about Oracle’s new “Star Wars” cyber-defensive functions from our Cloud...

App Dev

What A Hamster Can Teach You About Artificial Intelligence

Photo credit: Bored Panda The future of AI brings with it a new world of possibilities - it's helped reshape the way businesses and people solve problems in ways that never seemed possible before.  It's hard to imagine that artificial intelligence has been around for more than half a century. The influence of AI can be found everywhere from science fiction to practical uses. It's now in many of our homes with digital assistants, smart homes, home appliances, and now with automobiles. In nearly every industry, artificial intelligence has become core to how businesses innovate, drive efficiencies, and stay competitive.  For many of us, we may not remember the first time we were introduced to AI, but I can still remember exactly how I came to learn about it. When I was 7 years old, I was taught my first lesson about the field of artificial intelligence from my pet hamster, "Mustang". Mustang was an ordinary hamster with brown fur and a passion for sunflower seeds. He usually spent his day on his wheel and exploring our house in his hamster ball. My father, who was a PhD in math and engineering, decided it was a perfect opportunity for me to learn about the innate abilities of rodents to solve mazes. And of course being 7, I had no clue what was about to happen.  One summer, my dad built a maze for Mustang. It was an elaborate contraption designed with interchangeable walls cut from balsa wood. It included a heavy plexiglass lid that let us get a bird's eye view into Mustang's progress. Mustang was not that fast of a hamster. But nevertheless, after only one try, Mustang would speed his way to the exit and devour his prize - a giant bowl full of sunflower seeds. My Dad didn't explain to me how Mustang solved it so fast but he did show me the concept of an algorithm. He would say, "Now you try solving the maze but only take right hand turns, but back up if you hit a wall, and then go the other direction. How long will it take you to solve the maze?"  We didn't have a computer at the time, but my Dad showed me on his calculator the different combinations that we would have to solve for. I later learned that this maze algorithm was called the Wall Follower and that he was actually teaching me an important lesson in math and science. It turns out that the maze algorithms have been around before I was born. In 1968, artificial intelligence researcher, Nils John Nilsson one of the early founding fathers of AI, prototyped a robot that could run through a maze or room with obstacles. This path-finding algorithm was code named A1 and it was based on Dijkstra's algorithm - conceived in 1956. Mazes are just one puzzle and the A1 algorithm is just one algorithm. With the many subsets of artificial intelligence including natural language processing, and robotics - the most noteworthy is the use of machine learning. It is one of the most talked about AI technologies today, however machine learning is not new at all. It was originally invented in 1952 and originated from an individual named Arthur Samuel who originally used AI and machine learning to solve the problem of how to beat someone in checkers. Similar to the maze solving algorithm, machine learning was developed as an answer to a specific problem to help machines 'learn' and is one of the necessary ingredients in many modern AI advancements today. And similar to the checkers experiment, these early AI experiments were an important first step to understand the power of computing.  At Oracle, we've seen firsthand the impact of AI - it's embedded into almost everything we do, and the technologies we provide for our customers. With years of domain expertise and a deep understanding of cross-industry, Oracle embeds cognitive AI, analytics, data services, IT management, and security operations. We add machine learning and cognitive interactions to traditional business processes and applications - enabling improved user experiences and productivity.  Oracle uses machine learning to enhance business applications with adaptive processes to make them more agile and responsive to opportunities. By augmenting user experiences in our business and analytical applications, we've enabled our customers to have more natural and simpler interactions using voice and text. And finally, we've embedded AI into our IT infrastructure, so that our customers can operate efficiently and autonomously reducing manual management and security responsibilities.  From my first lesson to now, artificial intelligence can be found everywhere. It continues to be core to how we solve problems in business - reshaping the way people live and work. At Oracle, AI and ML techniques form the backbone of our game-changing Autonomous Cloud Platform capabilities. Artificial intelligence continues to advance the way we discover, manage, and make decisions. With these new insights delivered by artificial intelligence and machine learning, companies are delivering new levels of innovations once considered unimaginable. Learn more about Oracle AI and try it today. 

Photo credit: Bored Panda The future of AI brings with it a new world of possibilities - it's helped reshape the way businesses and people solve problems in ways that never seemed possible before.  It's...

Data Management

How Oracle Autonomous Advances A Start-ups Product Vision

This post was contributed by Oracle's Director of Cloud PR & Communications, EMEA & JAPAC, Rebecca English  Why are start-ups relying on technologies from established companies to increase their time to market and drive innovation? And what is the impact to their product or services? Start-ups are known for pushing boundaries and often seen as the driving force behind the economy for what's next and what's possible. At their core, start-ups and small businesses have a tremendous amount to deal with - from building and bringing to market their product vision, raising capital, and most importantly staying ahead of the competition.  In the last decade, the way start-ups build products and the tools they use to get their products off the ground has changed. Many entrepreneurs are not re-inventing the wheel - instead leveraging pre-existing technologies to build their products faster and advance their position in the market.  We've seen that happen at Oracle - where Oracle Autonomous was used by a start-up to make their vision possible as the next social network for mobile applications. Powered by Oracle Autonomous, Virtual Artifacts (VA) launched its Mobile Application Network (Hibe). It's a platform for developers to connect their mobile apps. Virtual Artifacts is similar to a social network, enabling developers to network and grow their own connections with other apps as well as communicate with their peers on different apps. To prepare for rapid growth, Virtual Artifacts invested in Oracle Cloud, including Oracle Autonomous Database, Oracle Cloud Platform, Oracle Mobile Cloud, and Oracle Cloud Infrastructure.  Faster Time to Market  At Virtual Artifacts, Chief Operating Officer Stephane Lamoureux says autonomous technology is enabling their team to shift its focus from the backend of the platform to building out functionality at scale.  "What this does is give me the ability to properly grow on a global basis," says Lamoureux. "Autonomous technology is enabling our team to shift its focus from the backend of the platform to building out functionality. We can put more people in the frontend focusing on product, knowing that 80 percent of our operations will be well managed and automated in the background by Oracle. What this does is give us the ability to properly grow on a global basis and also move our products much faster without having to worry about a backend infrastructure." Virtual Artifacts is also using Oracle technology to support its AI-driven privacy engine, which is at the core of the Hibe platform, giving users control of what happens to their data, including things like what advertising they can be shown.  Accelerate Innovation Oracle Autonomous technology is being used to ease the management and backup data. This enables Virtual Artifacts to handle massive leaps in workloads as each new app is connected, and bring hundreds of thousands or even millions of new users on to their platform.  Autonomous technology will bring greater security and reliability to their platform, including automated security analytics to provide real-time insight into what is happening on their platform globally.  "All of this stuff will be automated," says Lamoureux.  But most importantly, autonomous technology is enabling Lamoureux and his team to realize their dream of a fully-connected app world more quickly.  "The ease of management in the backend will give us the ability to spin out new products much faster, and we can be a lot more agile with what users are coming back with." Oracle Cloud and autonomous capabilities can support businesses of all sizes - delivering technology capabilities to drive operational efficiencies and deliver faster innovation. Oracle Autonomous offers start-ups and small businesses an opportunity to lower costs, reduce risks, and get predictive insights to create the next big disruptive product in the market. To learn more, click here to get started with Oracle Autonomous.

This post was contributed by Oracle's Director of Cloud PR & Communications, EMEA & JAPAC, Rebecca English  Why are start-ups relying on technologies from established companies to increase their time...

Strategy and Leadership

How Oracle Autonomous Will Change the Future of IT

This post was contributed by Oracle's Director of Cloud PR & Communications, EMEA & JAPAC, Rebecca English  What if organizations were able to shift the responsibilities of IT from maintenance tasks to higher-value mission critical assignments for business end users? To that end, what if IT organizations were able to use their skills for solving problems at the front-end of the organization? This is a new reality with autonomous technology.  Today's IT professionals need automation. According to an Oracle survey, we found a staggering 95% of IT professionals are still creating or upgrading databases manually. The workloads for DBAs are increasing with 39% of DBAs handling 50 or more databases. With Oracle autonomous, organizations can redefine how their business runs to drive real innovation and real change for their business.  Autonomous technology represents the next great leap in the evolution of enterprise IT technology. Combining the power of artificial intelligence and machine learning, autonomous technology delivers self-driving, self-securing, and self-repairing capabilities across a wide range of IT functions and applications. With Oracle Autonomous, organizations are able to run smarter, more efficiently, and more securely.  Move from Operations to Innovation  For IT professionals, autonomous technology means moving beyond the operational procedural work of keeping an IT system functioning. It enables them to use their skills and knowledge for solving more mission critical problems. Organizations will be able to consider and design new processes and practices with autonomous technologies. They can shift IT responsibilities from managing backend systems to focus on frontend applications and services that matter most to employees and customers.  As Timothy Miller, from Drop Tank, a loyalty and rewards company focused on fuel and convenience said, "Simply put, with cloud and autonomous we can focus on our business and not the backend of technology. It promises a future where we don't have to rely on an army of people. Autonomous gives us the tools to do amazing things quickly and at a low cost." Autonomous technology represents a fundamental shift in IT - where it becomes a hub for innovation. It provides organizations with the necessary speed, and flexibility to deliver cost savings and value.  When applied for example in a database, autonomous automates database operations ensures patches are applied and the data is secured. For integration, autonomous technology simplifies integration spanning Oracle and non-Oracle apps, both on-premise and in the cloud. And when applied in a data warehouse, autonomous technology can provision a data warehouse in seconds accelerating time to innovation and time to market. And it can do all of this with minimal human intervention.  As Clark Kho, Senior Technology Architect, at Accenture said, "In today's intelligent enterprise era, having a self-driving database is a natural next step. Freeing DBAs from the basic operational nuances of running a database is of tremendous value-and from a security standpoint, the autonomous capabilities get us closer to the holy grail of being automatic, predictive and self-healing." Drive Better Outcomes Ultimately, autonomous technologies provides IT professionals with the ability to re-align their focus on new projects and enabling them to respond to business requirements at a speed never seen before.  As Michael Morales, CEO at QMP Health, a user of Oracle's autonomous data warehouse said, "When you're dealing with human lives, time is everything. Having Autonomous Data Warehouse Cloud automatically tune and manage itself with no downtime means faster response times and quicker decisions - that's critical for us and our patients." Autonomous drives efficiency in existing systems management, freeing up human resources and generating quick wins that can be reinvested in further implementations. With Autonomous, the IT function can become a true partner to the organization. Ultimately, autonomous technology can lead to a future where there is no discernible difference between IT and the business - they are converged.  To learn more about Oracle Autonomous, click here and try it today. 

This post was contributed by Oracle's Director of Cloud PR & Communications, EMEA & JAPAC, Rebecca English  What if organizations were able to shift the responsibilities of IT from maintenance tasks to...

Strategy and Leadership

How Oracle Autonomous Will Completely Reshape Retailers Approach to IT

The last time you shopped online, did you ever stop to think about how much the shopping experience has changed in your lifetime? It may be hard to remember, but it was very different - where getting in your car, driving to the store, and buying at the store was the only way to shop.  With technological advances, this path to purchase has been dramatically altered. In the last decade alone, retailers have been under increased pressure to adapt their business model in response to consumers demand for differentiated experiences from in-store to online, across channels and formats. The retail industry has become a hyper-competitive market to be in, where consumers expect more convenience than ever with access to mobile connectivity to shop whenever and however they wish. The convenience of e-commerce online ordering versus in-store, and more choices for receiving products with pickup or delivery options. Many retailers have failed to recognize that traditional models are no longer sustainable and having the right mix of channel engagement across different formats is the key to survive. In 2017 alone, a study by JLL research mentioned on Forbes, estimated there would be more than 5,300 stores closures. This is a staggering number of store closures, however according to a recent Deloitte study, the reality is consumer spending is shifting and the retail industry is simply evolving. As a result, retailers are considering new ways to make improvements across their infrastructure and technology use to reposition and gain real-time visibility of their converged channels across mobile, web, supply chain and in-store.  Oracle Cloud for Retailers Oracle’s cloud products provide retailers with the means to improve data quality, unify on common business processes, and optimize the foundation for processes around core design, inventory planning, logistics, store operations, and e-commerce. The pressure for retailers to stay competitive, and create the best experience is often challenging without using cloud. The opportunities that cloud represent provides our retail customers with the needed scale, and performance for an effective converged commerce approach. To that end – it’s important for a retailer to consider factors like having the right mix of products to sell across all of their channels, the product placement in the store vs. online, and the end-to-end customer experience. And more recently, retailers are embracing emerging technologies with AI-assisted styling or chatbots to improve mobile engagement. Ultimately, redefining their operational approach and using technology to advance their position helps retailers address the needs of their customers better and improve their brand loyalty. With Oracle’s latest product announcement of Autonomous, our retail customers stand to make additional gains from Oracle Cloud as they can move from operations to innovation, quickly spin up new development environments without having to worry about all the administration functions like patching, securing, tuning, deployment parameters. Oracle’s vision of automating and optimizing database software that writes and creates itself is revolutionary. Oracle Autonomous Cloud is backed by its Autonomous Database capabilities which is a suite of products differentiated by the type of workload optimization. Autonomous technologies can completely reshape how retailers approach to IT – enabling them to free their budgets, and resources to focus on innovation. Our customers are already seeing with the Autonomous Database and ultimately the role that autonomous will play in the enterprise for businesses of all sizes. The Autonomous Database Oracle continues to advance our autonomous capabilities and services for our customers, this week Larry unveiled our latest service in the Oracle Autonomous Database Cloud portfolio, Oracle Autonomous Transaction Processing. This is a complete data management system – a single database for transactions, reporting, batch and IoT workloads. And when you’re thinking of a use-case for high performance transactions and mixed workloads, no one understands the importance of these autonomous capabilities more than the retail industry.  We heard this week how impactful and beneficial this can be to retailers, as one of Oracle’s global retail customers described, how critical the performance and scale is to support their business. They spend a lot of time optimizing performance, dealing with the large volume of transactions and a massive amount of disparate data to contend with - all while trying to manage the supporting infrastructure. With Oracle Autonomous Database, they can clearly see how the self-patching capability can help save them time and make their systems more secure, up to date – ultimately reducing their risk. This would lower resources costs and at the same time deal with retail cycles during peak demands such as Cyber Monday, and Black Friday. And finally, customers are excited by the concept of using Oracle to offload the mundane DBA tasks, and use our machine learning to do the heavy lifting for them.  With Oracle Autonomous services, retailers truly have the building blocks to disrupt entire business models, move from operations to innovation, drive better outcomes for their customers, see the signals sooner and adapt faster, and reduce costs and risks. The availability of our Autonomous Transaction Processing is incredibly important for retailers as they can depend upon us for the capabilities to get performance, availability, scale and at the same time freeing their database teams to focus on new innovation.  And when you think about the future of retail, and what’s next, think Oracle, #ThinkAutonomous. To learn more, read from our recent press release about our announcement and availability of Oracle Autonomous Transaction Processing. Sign up for a free trial today.

The last time you shopped online, did you ever stop to think about how much the shopping experience has changed in your lifetime? It may be hard to remember, but it was very different - where getting...

PaaS Leader

Developers: New Opportunities in 2018 Offer Challenges, But the Future Is Bright

With emerging technologies such as blockchain, machine learning, chatbots and serverless computing, 2018 should be an exciting year for developers, with almost endless possibilities. A recent article published in InfoWorld by Oracle Cloud Platform’s VP of Product Management & Strategy Siddhartha Agarwal, outlines a comprehensive list of a few of the predicted excitements and pressures that may come with these transformative technologies. Each technology has the ability to re-shape industries, transforming consumer and enterprise behaviors alike. A recent InfoWorld article predicted how each of these technologies (and more) will both impact and challenge developers looking to leverage these technologies in 2018. Blockchain, which records detailed transaction data in a highly secure, trusted environment, could make any type of complex transaction more cost-effective and efficient by eliminating intermediaries. Two industries where it might show the greatest impact in 2018 could be financial services and manufacturing, where its scalability, resiliency, security, and pre-built integrations with enterprise systems should make it much easier for developers to focus on business use cases rather than underlying hyperledger fabric implementation.   Machine Learning will be ramping up to more broadly impact life, as well as work, as it becomes more domain-specific and tailored for specific segments of the overall business. Specifically, this means developers will need to step up their understanding of these technologies to avoid mistakes and growing pains that could have substantial consequences for their organizations. For example, as machine learning becomes more domain-specific, developers will need to build a greater understanding of domain-specific use cases, which requires time and effort to gather the correct data for training and build the right algorithms to apply. And intelligent chatbots that can detect intent and context will begin to reshape not only how consumers interactions and behavior, but also how employees interact with employers in the workplace. However, these new opportunities also mean that developers will be challenged to focus on striking a balance between increasing the pace of their development activities without compromising stricter requirements for security and performance. To learn more about additional technologies that should impact developers in 2018 and the challenges those technologies present, read the InfoWorld article here.

With emerging technologies such as blockchain, machine learning, chatbots and serverless computing, 2018 should be an exciting year for developers, with almost endless possibilities. A recent article...

Data Management

New Programs Aim to Simplify How Companies Buy and Consume Cloud Services

  Migrating to cloud has helped companies of all sizes lower costs and accelerate everything from app development to collaboration to, ultimately, innovation, but there’s still one aspect of moving to cloud that hasn’t kept up its end of the bargain.   Until now. Despite the many advances cloud can deliver, the process of moving existing on-premises licenses to cloud, as well as the overall purchase process for cloud services, continues to prove cumbersome and frustrating. One of the key obstacles to moving to cloud for many organizations is the balancing act they must maintain between investing in new innovative technologies while at the same time protecting on-premises investments. In addition, the process of purchasing cloud services involves complex contracts and often requires companies to detail up-front exactly how they plan to spend their money. In a rapidly shifting business environment, that’s not a simple thing to do. Many cloud providers require companies to notify them in advance regarding what specific cloud services they’ll need, how they’re going to run them, and where. This often stifles responsiveness and results in unpredictably higher operational costs. It also makes it challenging for companies to shift cloud spending to different platform and infrastructure services as their strategies change. This is all in addition to the many complex cloud payment models at most cloud providers that give organizations limited visibility into, and control over, cloud spending.   Companies like Oracle, however, have recently debuted new pricing programs that directly address these challenges and make the overall process of purchasing and consuming cloud services dramatically simpler. In addition to the new programs, Oracle has also lowered its PaaS pricing and reduced IaaS list prices to match Amazon Web Services (AWS). Firstly, Oracle announced the extension of its Bring Your Own License program (BYOL). Oracle’s existing BYOL program has allowed customers to bring on-premises licenses to Oracle IaaS. This allows customers to take an existing on-premises license for Oracle Database, for example, and replicate that functionality on Oracle IaaS Compute. With this new extended BYOL program, however, on-premises software such as Oracle Database and Oracle Middleware is now portable to corresponding Oracle PaaS, where customers get access to a host of very powerful cloud-specific features, particularly automation through artificial intelligence and machine learning. Customers also move those licenses to PaaS at the newly announced lower pricing.   When customers run Oracle PaaS tools in the Oracle Cloud, the cost benefits go beyond the new PaaS pricing. For example, when running Oracle Database Cloud Services on Oracle IaaS (now priced as low as AWS), customers can also leverage the benefit of the tremendous power of Oracle Compute to run workloads much faster than on competing clouds—resulting in dramatically lower costs in a pay-as-you-go model. Even further cost reductions come as a result of the high levels of automation built into Oracle’s PaaS solutions. That’s because more automation means less human labor, which reduces costs yet again. The BYOL program also applies to Oracle Cloud at Customer, which brings all the functionality of Oracle’s public cloud technology into customers’ data centers, behind their firewalls. Cloud at Customer has proven valuable for companies dealing with global regulatory and compliance issues. And Oracle’s new Autonomous Database technology only adds to the opportunity. Autonomous Database is a totally new category of database that requires virtually no human labor and, as a result, no human error and dramatically reduced costs. The database automatically provisions, secures, monitors, backs up, recovers, troubleshoots, and tunes itself. It automatically upgrades and patches itself while running and elastically grows and shrinks compute or storage with virtually no downtime. Because you only pay for what you use, the cost comparisons to other databases are startling. The second component of Oracle’s new pricing program is Oracle Universal Credits (UC), which dramatically simplifies the purchase and consumption of PaaS and IaaS cloud services, while at the same time adding tremendous flexibility. With Oracle UC, customers just have a single contract that doesn’t require notifying Oracle of changes. They simply pay up front and consume as they wish. Oracle calculates usage and bills against the credits. In addition, customers can use Universal Credits to purchase on-demand access to all current and future Oracle PaaS and IaaS services, such as database (including the new Autonomous Database), integration, analytics, security, compute, and storage with a pay-as-you-go model. Customers can pay even less using prepaid pricing for as long as they need. Universal Credits are applied to anything customers want to use. Data can be moved, for example, from one data center to another without the need to notify Oracle. Similarly, services can be canceled and reapplied to another service. Discounts are determined by dollar volumes and whether you choose a monthly or annual commitment. Specific SLAs, limitations, and liabilities can still be negotiated. Oracle BYOL and UC build upon Oracle’s commitment to delivering the world’s leading cloud solutions in the simplest, most efficient way possible for customers. For more information on Oracle BYOL and UC, visit our website.  

  Migrating to cloud has helped companies of all sizes lower costs and accelerate everything from app development to collaboration to, ultimately, innovation, but there’s still one aspect of moving...


How PaaS Can Help Your Financials Feel Right at Home in the Cloud

This post was contributed by Hitachi Consulting. It seems like whenever a business decides to move finance to the cloud, people inevitably raise questions about connectivity. Will they still be able to connect to applications and data that were left on premise? What about third-party apps, specialized homegrown apps, or apps that run in their own separate cloud? How hard will it be to plug those into a cloud-based financial system? As a technology and business consultant who has worked on dozens of Oracle Cloud ERP projects, my short answer is—relax. Modern cloud finance solutions—and Oracle Financials Cloud, in particular—allow you to connect to anything, across every part of the business and beyond. This includes legacy on-premises systems, other clouds, third-party apps, mobile and social platforms, and even the Internet of Things. I’ve found that you can approach your move to “connected ERP” in two ways. One is to adopt a unified suite of applications that inherently provides a single repository for your trusted data. The other is to use cloud platform tools and services to bring together a complete picture of your enterprise and synchronize critical business data to enable real time analytics. Oracle PaaS tools are great for enabling hybrid or co-existence models where companies choose to maintain on-prem applications alongside a cloud ERP or other cloud applications. At Hitachi Consulting, we frequently use Oracle Platform-as-a-Service (PaaS) products, such as Oracle Integration Cloud Service and Process Cloud Service, to simplify the job of connecting systems to Oracle ERP Cloud and allow clients to maximize re-use of existing IT investments and assets. For example, let’s say you decided to maintain an on-premises system that creates purchase orders. Using Oracle Integration Cloud Service, you can easily create a connection that seamlessly passes the required information to the cloud financials application. And with Oracle ERP Cloud, all the integration points are governed by centralized role-based access controls, so security is never an issue and you get the peace of mind that those connecting only see what they are supposed to. One of the best things about Integration Cloud Service and Process Cloud Service is the intuitive, wizard-based user interfaces that allow non-technical “citizen developers” to integrate systems and design business processes without writing a lot of code. In addition, using Oracle Developer Cloud Service, companies can develop apps faster than traditional methods and at significantly lower cost. The connections don’t stop there. With Oracle Cloud ERP, you can connect to employees anywhere on their mobile device and simplify mobile app creation. Now employees can request travel funds from the smartphone, and collaborate and share documents more easily when crunched for time, such as during financial closes. Analytics and reporting are all connected in the cloud, as well. The newest frontier in connectivity is the Internet of Things, and I expect to see more and more companies linking their Cloud ERP platforms to IoT platforms, and reaping significant benefits in the process. For example, sensors on trucks could detect damaged goods in transit and order replacements before reaching their destination. Connecting that data to the ERP would also speed financial claims and write-offs. Guiding You to the Cloud Of course, ensuring connectivity in the cloud doesn’t come without a few challenges, especially if you’re a large, complex, geographically dispersed business. That’s where an experienced consultant can help guide you through the ins and outs of the process. In my experience, there’re a lot of ways to “do cloud” and Oracle just does cloud the best. With Oracle Cloud ERP, you’ll get more control over your data, and more flexibility when rolling out system updates and upgrades. Plus, Oracle has been in ERP for so long that they’ve gained the wisdom and vision to give you exactly what your business needs to be successful. The challenge often becomes determining what parts of your business should move to the cloud first. Hitachi Consulting can guide you through the first journey into the cloud and help you draw a roadmap to realize the benefits of connecting your ERP to each part of your business. Hitachi Consulting can leverage proprietary utilities such as our Oracle Cloud Migration Tool and battle-tested HFusion methodology to help you chart a course to the cloud and navigate your organization through to a connected ERP. Still worried about connecting to your financials cloud? Don’t be. With the right Cloud ERP platform, a modern integration skillset, and solid guidance behind you, you can interface anything to your financials and start to reap the benefits of a modern Connected Cloud.

This post was contributed by Hitachi Consulting. It seems like whenever a business decides to move finance to the cloud, people inevitably raise questions about connectivity. Will they still be able to...

Data Management

3 Key Additions For Companies Moving Enterprise Workloads to Cloud

This post was contributed by Oracle's Director of Cloud Content, Chris Murphy (chris.j.murphy@oracle.com) Oracle is providing new tools for organizations that are moving enterprise workloads to the cloud. IT shops are increasingly exploring the cloud for existing workloads, and are expecting the same type of choice, control, and tools they get with in-house data centers, but with the agility and lower-capital approach delivered by the cloud.  Oracle’s latest enhancements to Oracle’s infrastructure-as-a-service (IaaS) help meet those expectations. They are: Oracle Real Application Clusters (RAC) on IaaS: Users can connect two-node Oracle RAC Databases on bare metal servers that can support hundreds of thousands of transactions per second. Organizations that have used RAC on-premises for high availability and scalability can move those same workloads to the cloud. Oracle FastConnect: This on-demand private network connection offers flexible bandwidth (increments of 1Gb or 10Gb) so cloud users can scale up and down as business needs change. Current global partner providers are Equinix and Megaport. Support for Microsoft Windows Server: Oracle IaaS supports Windows Server for a variety of virtual machine and bare metal cloud compute options, with a range of compute, memory, and storage resources. Oracle Cloud also supports a range of other operating systems: Oracle Linux, Red Hat Enterprise Linux, CentOS, and Ubuntu, thus covering the bulk of the enterprise operating system landscape. You can get more details in the Oracle press release about these enhancements here. Here’s one of the Oracle Cloud customers quoted in the release—Mike Ferber, CIO of ICAT, which provides property insurance protection to over 65,000 homeowners and businesses located in hurricane- and earthquake-exposed regions of the United States: “ICAT is in the catastrophe insurance business, so we’re very sensitive to risk and business continuity. We’ve run our mission-critical online quoting application on-premises with Oracle Database for years, but keeping up with business growth was a challenge. The Oracle Database Cloud Service on bare metal exceeded our performance requirements and made a move to the Oracle Cloud feasible. The ability to quickly scale up processing power, as well as leverage Oracle RAC in the cloud, gives us great confidence that we will be able to offer our customers the experience and reliability necessary with our new cloud-based system.”

This post was contributed by Oracle's Director of Cloud Content, Chris Murphy (chris.j.murphy@oracle.com) Oracle is providing new tools for organizations that are moving enterprise workloads to the...


Executive To Tech Enthusiasts: ‘Move to Cloud Your Way, Not Theirs’

This post was contributed by Oracle's Director of Content Strategy, Jeff Erickson (jeffrey.x.erickson@oracle.com) For people steeped in the nitty-gritty operations of enterprise technology, 90 percent of which still resides on company-owned data centers, “moving to cloud” sounds like a journey for another day. They aren’t immune to the promises, but they’re busy keeping their business’s current set of applications running. “That’s important work that needs to keep getting done,” said Oracle Senior Vice President Steve Daheb in an address to a gathering of independent user groups dedicated to Oracle technologies and business applications. “So the question becomes, how do you take advantage of cloud in a way that makes sense to the way you work right now, today?” Daheb’s audience members spend their work days manning the technology that tracks shipping containers, cuts government checks, makes sure medical trials proceed accurately, and ensures the ATM recognizes your pin number—among untold other complex processes that keep a modern economy humming. “We have to go beyond just ‘move to the cloud,’” said Daheb. “We’re all running our businesses on infrastructures that we built over years,” Daheb said, and cloud solutions need to complement the investments businesses have made in those infrastructures. He outlined three ways Oracle Cloud will help them do just that. 1.  A Unified Suite of Business Applications One way to start taking advantage of cloud is to find a line of business within your company that’s ready to upgrade to modern digital processes. Only Oracle offers a full suite of software-as-a-service (SaaS) applications spanning every business category, said Daheb, “from supply chain to ERP, to the modern HR tools we use to run our business, to marketing sales and service.” The applications “are part of a unified suite with a common set of tools to integrate data, business intelligence, and business processes,” he said. “Each can be deployed as a complete business application on its own, or it can be deployed as a module to complement another business application. And they can be connected back to what we have on premises or to other clouds.” And with Oracle’s data-as-a-service (DaaS) offering, which combines a wealth of data about businesses and consumers across channels and devices, Oracle SaaS customers can get much more insight in terms of what people will best respond to and ultimately give them the best experience with your business, Daheb said: “We can understand from a customer perspective what they buy, what OSs they are running based on what smart phones and what laptops they’re using. Are they millennials?  Are they college graduates?  Are they parents?” 2.  A Platform for Adding Business Value Underpinning Oracle’s SaaS applications is a layer of platform technology for building or extending those applications or migrating on-premises applications to the cloud. “It’s about how do we extend and bridge and connect all applications, Oracle as well non-Oracle, SaaS applications as well as on-prem applications, and other clouds,” said Daheb. “How do we integrate and simplify that for everybody?” At the end of the day, platform-as-a-service (PaaS) is about doing things like reducing the time it takes to provision a database, said Daheb. “It’s about spinning up an environment for agile application development where you develop on the cloud and deploy in production on premises. It’s about turning it on when you need it and turning it off when you don’t.” Oracle’s PaaS provides the tools that help you manage your environment, your application performance, the ongoing experience, and the security, said Daheb—and beyond that, it “will help you ingest data from different sources and prepare, discover, and apply decision science and machine learning for new and better insights for your business.” 3.  Infrastructure Built for the Enterprise Oracle’s infrastructure-as-a-service (IaaS) solutions, including compute, storage, and networking services, as well as Oracle Bare Metal Cloud Services, combine the elasticity and utility of public cloud with the control, security, and predictability that technologists are accustomed to with their on-premises deployments, said Daheb. Oracle’s IaaS layer “wasn’t something that was created for some other purpose or for commodity services or for searching or for ecommerce; we built it with you in mind,” Daheb told his audience. “Ultimately it’s a high-performance, high-availability, and cost-effective infrastructure service that gives you the control you’re used to.” Cloud: Just Another Technology Transition The transition to cloud computing “is simply an extension of our longstanding relationship with our IT counterparts, with developers, and with the different lines of business,” said Daheb. “We’ve built a cloud solution that’s open and secure, and that ultimately gives you power over how to make use of it. It’s available to you at every layer of the tech stack. All those layers are integrated together and based on the same foundational application, platform, and infrastructure you use on premises every day.” For more than four decades “we’ve worked together on every single major technology transition, from mainframe, to client/server, to the rise of the internet, to mobile, to cloud, to whatever comes next,” he told the tech veterans. “Because, there’s always something next, right?” Click here to learn more about Oracle Integration Cloud Services. Click here to learn more about simplifying Oracle app migration to cloud.

This post was contributed by Oracle's Director of Content Strategy, Jeff Erickson (jeffrey.x.erickson@oracle.com) For people steeped in the nitty-gritty operations of enterprise technology, 90 percent...

Business Analytics

The HR Analytics Revolution

This guest post was written by Sharon Gedney, Marketing Manager for Cloud Strategic Initiatives. I was recently reminded of a human resources tangle I found myself in some time ago. Due to return from maternity leave, I’d presented a business case to change my working patterns, but the company was unable to review any HR data that proved my point: I’d maintain my productivity and they’d benefit from cost savings at the same time. Unfortunately, without the data, the company took a rigid stance. The result? I left, taking my 20 years of experience with me. The whole experience was frustrating and unfortunate, and it also highlights one of the primary challenges for many HR departments. In many organizations, HR is a cost center and sits at the back of the queue when funds are on offer. Systems-wise, this has led to HR being the poor relation, often resulting in intricate, heavily-customized legacy systems running on old technology, and with vast volumes of data held in unmanageable silos. Good reporting is a challenge in itself, let alone analyzing the data to make informed decisions about the workforce—not the building blocks anyone would want for the new world of HR, where informed talent-related decisions visibly affect the bottom line. But change is coming, driven by the need to identify and target scarce talent, and do it better than your competitors. So how has the revolution gathered pace? The need to identify the best people for the job, retain a skilled workforce, and offer a balanced remuneration package is not new. What is? Global recognition that insights on workforce trends and factors affecting performance can help HR acquire, optimize and develop talent, and the delivery of cloud-based tools that can provide these insights. Cloud solutions offer companies global access to files and data, improved storage structures, and greater solution distribution, increasing business agility, lowering costs, and reducing IT complexity. Cloud computing now offers an affordable path for HR departments to store, organize, and apply data smartly, with solutions that offer modern, personalized applications, rich functionality, ease of use, and accessibility through a range of channels. SaaS-based applications are faster, simpler, and provide companies with the ability to scale up and expand as they grow. Next-generation, cloud-based HR systems offer analytics solutions out of the box, allowing businesses to gain insight on practically any talent-related issue. And there are many—from targeting the right employees for promotion and development to identifying future leaders to hire, and from discovering skill gaps and training needs to identifying factors affecting workforce productivity and rates of attrition. Success in any of these efforts can have an important impact on driving the business forward and increasing profitability. To have the freedom to explore data to this extent requires integrated systems, an elastic infrastructure, and simple application management. In addition, it requires the ability to gather data from external sources, to present results visually, and to share information with other stakeholders. Oracle Analytics Cloud for HR delivers a visual analytics solution that can blend data from HCM and talent systems, providing a single, global source of employee data. For example, the Dow Chemical Company, a global chemical manufacturer with 45,000 employees and a variety of HR tools, used an Oracle solution to deliver global reporting and to put data securely in the hands of senior leaders. In addition, Oracle’s integrated platform gives companies the flexibility to run HR entirely in the cloud or to blend on-premises HR data with cloud-based recruiting and talent information. Blending different data sets and turning it into powerful insights can be done by easily connecting to any Oracle SaaS application. Oracle Analytics then designs, displays, and deploys to any device, to share live, dynamic insights, without the need to learn complex tools or rely on specialized resources. To find out more about how Oracle is helping HR reposition itself as a value contributor to the business, click here.

This guest post was written by Sharon Gedney, Marketing Manager for Cloud Strategic Initiatives. I was recently reminded of a human resources tangle I found myself in some time ago. Due to return from...


Why Successful Innovation Starts with Integration

With the sheer amount of time given to the discussion of business innovation every day in the corporate world, you’d think that by now we must’ve figured it all out, right? Not quite. By my thoroughly unscientific estimate we’ve spent exponentially more time talking about innovation in the last 20 years than we did about putting a man on the moon in the ‘60s, but somehow genuine innovation remains vastly more elusive. Perhaps that’s why we all get so excited when we see it (“The Snuggie!?!? A blanket with arms?!?!?!? What will they think of next?!?!?”). And why is innovation so difficult? Obviously, there are lots of valid reasons. Some say it’s a question of resources. Others say it’s about risk. There’s a good case to be made for each, as well as many other factors, but there’s one angle to the innovation discussion that doesn’t get as much attention as it should—integration. And that’s unfortunate, because integration and innovation are connected in important ways that often go overlooked. That’s because, while we often view business innovation in light of the people who generated the idea, what we frequently miss is the driving force below the surface that often brings those people and those ideas together. Increasingly, that force is driven by integration—applications, data, and devices in the cloud or on premises—that builds the kind of collaboration that’s such a hallmark of innovative companies. As integration opens up the flow of information from separate applications across the organization (as well as outside) it creates a hub of intelligence across different business units, not only increasing collaboration but also the speed with which teams can act. That kind of agility enables organizations to respond to customer demands in real time with innovative offerings.                                                              Of course, bringing together the various components necessary to make this collaboration happen has its own challenges, simply because integration and innovation just aren’t natural by-products of how businesses are organized today. Structure, processes, explicit or implied rules—despite their good intentions—actually end up stifling ideas, especially at larger companies. Similarly, how many times have we seen organizations choose to invest in existing systems and infrastructures, rather than move forward with integrations that could drive efficiency, cost savings, greater innovation for customers. Compounding that integration challenge is the explosive growth of SaaS applications, mobile devices and the absolute flood of data from the Internet of Things. To keep pace, a new approach to integration is needed—one that involves an integration platform as a service via the cloud. Rapidly connecting SaaS applications with on-premises systems, empowering users across the enterprise to effectively drive innovation, and supporting changing business needs by enabling integration projects to be moved easily between cloud-based and on-premises integration platforms, Oracle Cloud Platform for Integration offers just such an approach. For example, Calix, a leading provider of broadband communications access systems and software, used Oracle Integration Cloud Service to complete 24 integrations in less than three weeks, enabling them to support continual innovation and realize significant IT savings. To learn more about how Oracle’s cloud-based integration services stress simplicity, with process automation solutions that unlock innovation through faster time-to-market and agility, click here. 

With the sheer amount of time given to the discussion of business innovation every day in the corporate world, you’d think that by now we must’ve figured it all out, right? Not quite. By my thoroughly...

Data Management

Database Innovation: Isolating Analytics and Transactional Users

This guest post was authored by Jeff Erickson, Oracle's director of content strategy. It's pretty easy these days to grab a database and plug it into your development project—especially if you don't think too much about how it will be used down the road, when your beautiful application gets hammered by millions of users and devices and mercilessly probed by hackers. The good news is that Andy Mendelsohn, executive vice president of database server technologies at Oracle, has been thinking — a lot — about all those problems you might face. Mendelsohn, in a recent Q&A with Profit magazine, shares how his team work to carry database customers through their toughest problems, such as security and reliability, while also helping them meet new challenges such as big data and in-memory analytics and, of course, the transition to the cloud. Here’s one specific example of an improvement of Oracle Database 12c from its first release to its second, in direct response to a customer need. Says Mendelsohn: “The most frequently requested enhancement to the version 12.1 in-memory column store technology was the ability to isolate the analytics users from the transaction users. In Oracle Database 12.2, we addressed this with Oracle Active Data Guard: transaction users run on the primary database and in-memory column stores are created for the analytics users only on the standby database.” The Oracle Database teams know this kind of fast and creative work is just what’s expected from Oracle, as they guide customers through today’s technology transitions and those that lie ahead. Says Mendelsohn, "Customers trust that Oracle is going to continue to innovate to remain the #1 database." Below, watch Oracle's Andy Mendelsohn discuss how Oracle's latest database innovation not only addresses what you need today, but also features the capabilities to dynamically adapt to what you need tomorrow. Jeff Erickson is director of content strategy at Oracle. You can follow him at @erickson4.  

This guest post was authored by Jeff Erickson, Oracle's director of content strategy. It's pretty easy these days to grab a database and plug it into your development project—especially if you don't...

Strategy and Leadership

Mark Hurd: For Cloud Growth, Focus More on Who

For Oracle CEO Mark Hurd, the rapid rise in cloud computing is a simple function of math—and he also adds a twist to the equation. Citing global GDP growth of a meager 3.2 percent, Hurd recently explained in a post on LinkedIn that there’s really only one lever public company CEOs can pull in this economic environment if they want to satisfy shareholders: bring more innovative products to market more quickly as a means of grabbing market share. Doing so, he says, requires cloud computing as the linchpin of a growth strategy. “What makes cloud computing so revolutionary is that it can permeate everything your company does, from back-office processes to how it goes to market,” he writes. “It makes possible the digital transformation companies need to thrive in today’s market.” Hurd goes a step further in his post, noting that cloud computing is so essential to growth strategies that the main questions about cloud adoption are shifting.  “The question isn’t whether you should be using cloud computing,” he says, “It’s whether your company has the right leadership to make the best strategic use of the cloud, and fast.” Click here to get the specifics on how Hurd suggests companies ‘stress-test’ their management teams to make sure they’re using the cloud to genuinely drive digital transformation, as opposed to merely keeping up with the Joneses.

For Oracle CEO Mark Hurd, the rapid rise in cloud computing is a simple function of math—and he also adds a twist to the equation. Citing global GDP growth of a meager 3.2 percent, Hurd...

Oracle Cloud at Customer

Overcoming Regulatory Obstacles to the Cloud

The notion of running an entire enterprise in the cloud offers tantalizing benefits in the form of dramatic increases in productivity and faster innovation—all leading to the potential for significant business transformation—but the fact is that, for some companies, that may not be realistic.  Particularly in areas like finance, healthcare, and government, regulatory issues prevent significant obstacles to placing some applications and data in the cloud. A new innovation from Oracle, however, makes it possible for these companies to realize many of the benefits of the public cloud without the exposure to the regulatory risks associated with it. According to Oracle Senior Vice President of Cloud Platform Amit Zavery, Oracle’s Cloud at Customer service makes it possible for companies concerned with regulatory issues to essentially drop the Oracle public cloud into their own data centers, giving them all the benefits of cloud while still maintaining full control over their information and complying with all data privacy and data residency requirements.  For customers looking to migrate from Oracle solutions on premises to innovative software-as-a-service-based applications, Oracle Cloud at Customer easily facilitates connectivity between legacy applications and next-generation applications running in the cloud via Oracle Integration Cloud Service. It also utilizes a hybrid cloud structure that enables enterprises to run any workload on premises or in Oracle Cloud, and the workloads are completely portable between the two environments. Click here to read the full interview with Oracle Senior Vice President of Oracle Cloud Platform Amit Zavery, where he discusses Oracle’s unique approach to pricing Cloud at Customer.

The notion of running an entire enterprise in the cloud offers tantalizing benefits in the form of dramatic increases in productivity and faster innovation—all leading to the potential for significant...

Business Analytics

About that Word “Transformation”

Without question, “transformation” is a popular word in technology circles. And while it might seem a bit gratuitous at times, there really is good reason for its popularity. True transformation, at least according to Merriam-Webster, involves “complete or major change.” In a business environment that’s moved from the invention of the smartphone to self-driving cars in what feels like the blink of an eye, the desire to transform an organization has perhaps never felt more urgent. For Oracle’s head of Asia-Pacific business, Francois Lancon, the concept of ‘complete’ change is at the heart of real digital transformation. For Lancon, who’s worked with the region’s 25 countries for more than 15 years, digital transformation is an end-to-end digitization of business processes within an enterprise—not an event specific to HR, finance, or marketing teams, for example. Rather, it runs the gamut from the back office (finance, HR, manufacturing) to the front (sales, marketing, customer service, etc.). Lancon finds that companies that tie front and back-end applications together start to see the real payoff in digital transformation. “The cherry on top of the cake is the analytics,” Lancon says, which can create what he calls the “CEO view” of the business’s financials, operations, and customer experiences. Among the chief obstacles to digital transformation, he notes, are industry or country-specific. Cloud providers have responded with “some very creative solutions,” Lancon says, citing Oracle Cloud Machine, which offers customers a new choice for their journey to the cloud, with some of the same services available in the Oracle Cloud—compute, middleware, database, and tools—in an integrated system that resides on a company’s premises. Cloud providers are also building data centers in customers’ countries to address concerns about performance and some country-specific legal restrictions. Click here to read the complete interview with Francois Lancon. 

Without question, “transformation” is a popular word in technology circles. And while it might seem a bit gratuitous at times, there really is good reason for its popularity. True transformation, at...

App Dev

How a Cloud Platform Drives a Tight-Knit User Community

A critical theme that runs throughout many efforts to transform modern businesses is the notion of placing the customer at the center of the organization. While customer-centric organizations are often as much a cultural hurdle as they are technical, cloud platforms today make this critical shift more technically attainable today than ever before—and at a faster pace, as well. Adelaide, Australia-based National Pharmacies leveraged Oracle’s cloud platform to create a powerful connection with customers via a member community that extends exclusive privileges and white-glove customer service to its base of 350,000 dues-paying members. With a cloud platform engine, those dues don’t just provide members access to a certain product mix, they create strong bonds between members, pharmacists, and suppliers, and help create a highly personalized in-store experience. National Pharmacies used Oracle’s Mobile Cloud Service to build a mobile application for members that allows them to exchange information with pharmacists, access an exclusive library of health information, and make purchases that get them the same rewards they’d get for in-store purchases.   National Pharmacies also connected its customers mobile experience to its in-store environment by providing employees with access to members’ mobile app data via an employee tablet app. The end result is that when members enter the store, employees not only know their name but why they came. Click here to read the full article on National Pharmacies.

A critical theme that runs throughout many efforts to transform modern businesses is the notion of placing the customer at the center of the organization. While customer-centric organizations are...


Integration Platforms and the 360-Degree View

It was likely a very sobering moment when unified communications provider Avaya—a company that provides tools to improve customer service for its customers—learned that its own Net Promoter Score (NPS), a loyalty measure of a company’s customer relationships, had dipped into the low 20s.  But during the course of a three-year plan that saw the company shift from a hardware-based model to a cloud services model, Avaya transformed itself into a customer-centric organization that could provide its employees and partners with 360-degree views of customers. What was once a very disjointed, manual process that involved asking users to navigate multiple different back-end systems from different business units in order to provide proper customer service, has become an integrated process that unites legacy apps, new cloud apps, and third-party apps.  Two key elements of the transformation were the construction of a Java-based engagement platform called Breeze and the launch of a partner technology called the Partner Portal. Breeze is a collaboration platform that creates workflows to install, configure, and manage Avaya’s customer and team engagement solutions. It also gives customers, employees, and partners the ability to custom-build their own solutions on top of it, according to how they engage their customers.  Partner Portal enables partners who sell Avaya solutions to manage their customer accounts and services, and find new opportunities to sell more. Partner Portal utilizes Oracle technology to streamline the configuration, pricing, and ordering experience. This has resulted in shortening quote-to-cash cycle times from months to days—and in some cases, to minutes—saving the company and its partners millions of dollars in operational efficiency. Oracle Integration Cloud Service and Oracle Java Cloud Service function as vessels that seamlessly transport data between different parts of the business. Oracle Integration Cloud Service connects information between Avaya’s internal on-premises systems and its cloud systems. Oracle Java Cloud Service provides standardized, upgradable extensions to Avaya’s third-party applications—enabling, for example, the team to build code that links the Avaya Breeze Platform with Oracle Sales Cloud. Click here to learn more about Avaya’s Customer 360 platform and how it plans to reach its goal of increasing its NPS score to gold-standard levels in the 60s and 70s.

It was likely a very sobering moment when unified communications provider Avaya—a company that provides tools to improve customer service for its customers—learned that its own Net Promoter...

App Dev

How Cloud Platforms Remove Barriers to App Development

In a global economy showing modest growth, at best, the ability to increase innovation and time-to-market are at a premium (read Oracle CEO Mark Hurd’s thoughts on that topic here).  Simply put, legacy on-premise platforms aren’t suited to meet that challenge—they’re inflexible, and costly to maintain, upgrade, and integrate. It’s no surprise that cloud platform growth is achieving the staggering numbers we see today, as SaaS, PaaS, IaaS, and engineered systems eliminate so many of the roadblocks to application development. All of this was on full display in June at the Oracle Technology Network Developer Cloud Challenge, part of the AMIS Oracle Conference in the Netherlands. As part of The Challenge, teams were asked to build cloud-based projects in just one day. The results highlighted exactly what IT teams can do with the right tools and processes.  Among the highlights of the event: One team built mobile app that lets you share travel plans with colleagues, so you can book at the same hotel or share a cab if you’re attending the same conference. Another created a cloud-based conference-planning tool to share information on speakers, sessions, and more. Another team designed a system aimed at reducing car pollution in Mexico City, Mexico, tracking how much a given vehicle travels by tapping into the city’s license-plate readers. Next was a mobile dashboard to let DBAs track metrics and detail pages, with the ability to do drill-down analysis and even make changes using their mobile phones. Finally, a team built a mobile app that merges a public REST feed of restaurant data with ratings data from a review site to provide a choice of restaurants based on a user’s location. A Twitter feed would let a user send a tweet on how they liked the restaurant. Debra Lilley, an Oracle ACE Director and vice president at systems integration firm Certus Solutions, thinks IT teams—especially enterprise IT shops—don’t fully appreciate how cloud has changed the pace of software innovation, including how quickly Oracle is adding new features and refinements to its cloud services based on user feedback. While it used to take years to revise and upgrade on-premises applications and databases, now she sees new features and functions added even in the monthly patches, which are more typically used just for bug fixes. Click here to learn more about each solution and the Oracle products used to create them.

In a global economy showing modest growth, at best, the ability to increase innovation and time-to-market are at a premium (read Oracle CEO Mark Hurd’s thoughts on that topic here).  Simply put, legacy...