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News and Views: Drive Smart Decisions with Cloud Analytics, Machine Learning and More

Experience Oracle Autonomous Analytics Cloud

Michael Singer
Director, Product Marketing, Oracle Analytics

Autonomous systems are here creating opportunities for business transformation, but they are also adding analytics to become more personal and proactive—more human if you will.  

Unlike first-generation semantic BI models and newfangled self-service analytics on the desktop, we want people to be focused on using their expertise to solve real business problems, not having to figure out how to ask the right question to get a decent answer out of the data. 

It's in this spirit of transformation that we announce the availability of Oracle Autonomous Analytics Cloud. With built-in advanced AI (artificial intelligence) and machine learning algorithms, the platform as a service (PaaS) automates and eliminates key tasks that would previously have been carried out by IT managers or data scientists. The software is designed to lower cost, reduce risk, accelerate innovation, and generate predictive insights.

Oracle Autonomous Analytics Cloud breaks down barriers between people, places, data and systems, fundamentally changing the way people analyze, understand, and act on information.

With Oracle Autonomous Analytics Cloud, you can:

•        Empower more people to uncover more insights more quickly via proactive, personalized self-service analytics on any data

•        Reveal hidden patterns and performance drivers through predictive insights and automatic natural-language explanations powered by machine learning

•        Accelerate time to value by providing a comprehensive, intelligent cloud analytics platform that automates operations and reduces overhead, lowering the total cost of ownership

"This is the latest in a series of steps from Oracle to incorporate industry-first autonomous capabilities into our PaaS portfolio to help customers take advantage of automation to build now and innovate for the future," says Amit Zavery, executive vice president of development, Oracle Cloud Platform.

The announcement also includes the availability of Oracle Autonomous Data Integration Cloud Platform, Oracle Autonomous Integration Cloud, and Oracle Autonomous Visual Builder Cloud.

More Human

Overall, Oracle's autonomous vision boasts "no human labor," "no human error," and "no manual performance tuning," but even without people involved, there is a great deal of humanity woven into it.

Self-driving cars and the chatty home assistants aside, autonomous systems are now being used to find efficiencies to reduce waste, monitor conditions to improve worker safety, and eliminate defects to ensure quality. Oracle Autonomous Analytics Cloud can tackle these issues as well, but it also allows for interactions both personally and professionally, which is changing how people work—for example, using voice as the interface for analytics. 

Why type when you can just ask a question the way you'd ask another person in conversation?  Phones and other mobile devices also make it easier to make analytics proactive, so as you get to your customer meeting, for example, you get insights about how your customer is doing, what might be affecting their business, and have that all available to you, no pre-planning required. 

Additionally, the growth in cloud increases expectations for simplicity and ease-of-use, or really ease of ownership across the whole experience, from buying subscriptions to rolling out new capabilities to expanding deployments and embedding analytics – you name it, customers expect more and more of a push-button approach.

Three Steps to OAAC

Oracle Autonomous Analytics Cloud builds on the previous Oracle Autonomous Data Warehouse release in three areas:

  • Automated insights, visualization, and narration
  • Automated data discovery and data preparation
  • Proactive and personalized insights

Automated insights mean that you start with auto-created visuals, rather than a blank canvas. These insights reveal patterns in the data that may otherwise never have been found, while embedded natural language generation helps people to understand insights using text and or audio.

Automated data discovery means you can search to find data sources, and ask data questions just like a data scientist, with recommendations to guide your way. There are instant recommendations for data preparation, cleansing, standardization.

Proactive and personalized insights bring back decisions based on context: time, location, caller, and other identifiers. Voice to query based on natural language processing brings back multiple possible answers ranked based on self-learning. The software understands the business and company specific vocabulary that you can share with one click.

Interested in automating your data analytics? Try Oracle Autonomous Cloud Platform services, including Oracle Autonomous Data Warehouse Cloud by signing up for a Free Oracle Cloud Trial via cloud.oracle.com/tryit.

Join the discussion

Comments ( 3 )
  • Munish Goswami Tuesday, October 9, 2018
    Hi Michael,

    Overall very informative blog. I came to this blog searching to find the difference between Oracle Analytics Cloud and Oracle Autonomous Analytics Cloud. Is the difference only due to DW being used? As my question still not answered do you know where can i find more information.
    Many Thanks
  • Michael Singer Tuesday, October 9, 2018
    Munish,
    Thank you for the comment.

    Oracle Autonomous Analytics Cloud combines machine learning, adaptive intelligence, and service automation to create an analytics platform that breaks down barriers between people, places, data, and systems, fundamentally changing the way people analyze, understand, and act on information. Learn more here.

    https://blogs.oracle.com/analyticscloud/
  • SS2019 Thursday, April 4, 2019
    Hi,
    my questions is how do you differentiate between vmware model and oracle privte cloud appliance model. in terms of licensing and flexibility.
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