Signals from IoT-enabled devices are growing and represent an opportunity for organizations that are able to manage, interpret, and leverage these sources of data, Oracle says. Organizations with the tools to integrate device data into business processes and applications can gain critical predictive insights and drive cost-effective actions. IoT solutions enable businesses to deliver innovative new services faster and with less risk to their customers.

Oracle IoT applications support three functions: device registration and data collection; signal analysis and interpretation; and connection to specific business processes. By applying advanced, predictive analytics to the device signals, Oracle IoT applications calculate complex business-specific KPIs and trigger automated actions in real time. The solutions can deliver capabilities, such as predictive maintenance, diagnostic dashboards, and increased real-time visibility, and can be applied to manufacturing, quality, and product data, as well as logistics and employee movements.

The new cloud applications integrate with Oracle Supply Chain Management (SCM) Cloud Applications to make IoT signals actionable and include the following products:

• IoT Asset Monitoring Cloud: Monitors assets, utilization, availability, and data from connected sensors and creates incidents in the backend SCM, ERP, or Service Clouds to automate the workflows

• IoT Connected Worker Cloud: Tracks employees to support safety, service, and regulatory compliance initiatives

• IoT Fleet Monitoring Cloud: Monitors position and progress of passenger, service, and delivery vehicles and driver-behavior

• IoT Production Monitoring Cloud: Monitors production equipment to assess and predict manufacturing issues

These aforementioned IoT Cloud applications are built on the Oracle IoT Cloud and Oracle Big Data Cloud. They integrate with Oracle SCM Cloud and Oracle Service Cloud, as well as on-premises software, to enable operational visibility, and facilitate better customer service and responsiveness.

Source: Oracle