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  • SaaS
    October 14, 2020

How SaaS Helps Accelerate Smart IoT Adoption Without Breaking a Sweat

Guest Author

By Jai Suri, Vice President, Product Management, IoT & Blockchain Applications at Oracle

 

Digital transformation enabled by emerging technologies is driving fundamental change in nearly every industry, with new entrants that are completely disrupting traditional business models. In order to stay competitive, incumbent companies must embrace a new digital culture and drive innovation powered by technologies, such as internet of things (IoT), machine learning (ML), artificial intelligence (AI), and Blockchain—and they must do so quickly.

To help organizations meet these demands with agility, Oracle has developed five IoT Intelligent Applications. They allow organizations to overlay new capabilities on top of their existing enterprise processes with minimal risk, while continuing to keep their existing business stable.

    

5 Operational Solutions, 1 Enterprise Data Backbone
Decades of growth in industrial automation has led to massive amounts of data getting generated every minute in industrial systems. However, the real challenge is collecting, synthesizing, and analyzing this massive high-velocity stream in real time to create insights that drive rapid decision-making.

Only a small fraction of operational data makes its way to analytical systems, and even this data is likely to arrive in batches by manual methods, such as FTP, and in some cases even email. This is because operational applications, which are maintained by operations technology (OT), and business applications, which are maintained by information technology (IT), rarely share a common data backbone. As a result, business applications receive outdated operational information and can’t respond proactively. This is often referred to as the OT/IT divide.

Oracle has bridged the OT/IT divide with a new layer into our software-as-a-service (SaaS) application suite that provides secure real-time visibility into operational data.

The applications use IoT, ML, and AI to establish a secure bidirectional channel with the operational systems. This allows the operational data from IoT-connected devices to be processed in the same way the company’s financial, human resources, and supply chain data is. As a result, business users can gain fresh insights from real-time operational data for more informed decisions and richer predictive planning scenarios.

The ready-to-use IoT applications extend a company’s primary enterprise solutions with the ability to monitor assets, production, fleets, worker safety, and service activity. They exchange data seamlessly with Oracle business applications, such as enterprise resource planning (ERP) and supply chain management (SCM), and easily integrate with third-party enterprise applications. A cloud-based SaaS deployment model minimizes the need for on-premises infrastructure.

Let’s take a closer look at each of these solutions:

Connected assets: From robots on the factory floor to heavy equipment deployed in the field, companies can have hundreds if not thousands of assets that are critical to their business. By equipping these assets with IoT sensors, you can monitor the location, health, utilization, and availability of your moving and stationary assets for up-to-the-minute tracking, predictive maintenance, usage metering, and many other use cases that reduce cost and downtime. Built-in automatic fault detection and failure prediction algorithms enable business users to use advanced ML and AI capabilities without the need for data scientists.

For example, Noble Plastics uses Oracle Connected Assets to detect equipment failure and miscalibration of industrial robots on its factory floor, so it can address production problems before they become significant.

Smart manufacturing: Industry 4.0 capabilities monitor production and product quality and track work-order progress across production. With Oracle’s IoT Intelligent Applications, you can manage your manufacturing equipment and production lines, evaluate product output, and leverage ML and AI to proactively predict production rates and make needed changes in real time.

As an example, Titan, a manufacturer of wheels, tires, and tracks for agricultural and construction machinery, uses Oracle's IoT Intelligent Applications to manage inventory challenges. Finished parts were coming off the production line faster than they could be reported in the system, causing a data lag of up to two hours. The new IoT system tied into the company’s Oracle ERP and SCM applications to provide Titan with real-time visibility into inventory, improving its shipping performance and customer satisfaction.

Connected logistics: Heightened logistics visibility across the supply chain helps companies respond quickly to unexpected disruptions, such as road closures, traffic, and weather, among other things. They also monitor the condition of shipments during transit for quality and cost control. Shippers can monitor shipments and fleets with data on freight location and ETA tracking, in-transit condition monitoring, and warehouse yard monitoring. Managers can monitor fleet vehicles, shipments, and driver behavior to optimize route costs and reduce shipping losses.

Worker safety: Companies can use IoT to make workplaces safer by monitoring people and their environments to reduce injuries and productivity loss. This system offers several relevant potential use cases. Imagine, for example, monitoring real-time location and movement of workers in a facility. Should a hazard occur, the system can alert supervisors to any nearby workers at risk. It can also monitor occupancy and raise an alert should the number of a building zone’s occupants exceed safe limits.

Service monitoring: Combining customer experience (CX) data with IoT enables you to deliver a predictive customer experience. Empower your service team to use insights from asset data and knowledge bases to customize service recommendations. Create and manage service orders proactively. Provide field service workers with the information they need to resolve issues on the first visit, thus reducing truck rolls. Service monitoring can also support product-as-a-service subscription business models, in which customers purchase value-added asset-based services.

Oracle IoT Intelligent Applications provide a full-featured technology stack that connects operational data with analytical computing, allowing for predictive modelling that supports smart decisions and proactive response. They can provide you with greater visibility, insights, and efficiencies by capturing sensor data from connected devices using smart manufacturing, predictive maintenance, connected logistics, workplace safety, and connected customer experience.

To learn how Oracle IoT Intelligent Application Cloud can accelerate your organization’s digital transformation, visit Oracle.com/internet-of-things.

 

 

 

 

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