Oracle Introduces Cloud Applications for Supply Chains Reliant on Artificial Intelligence

Oracle recently announced new artificial intelligence (AI) cloud applications designed to enable manufacturing organizations to reduce costs and increase yields by providing rapid analysis and actionable insights that can improve production efficiency and performance.

According to spokesmen, the new Oracle Adaptive Intelligent Applications for Manufacturing can leverage machine learning and AI to process more data from production environments to identify issues, thereby enabling improved operational efficiency.

Oracle Adaptive Intelligent Applications for Manufacturing include:

• Pattern and correlation analysis: Supply chain managers may discover key patterns and correlations between a complex set of multi-variate influencing factors across manpower, machine, method, material, and management related information. Managers can then align these insights with manufacturing business metrics such as yield, quality, cycle time, cost, scrap, rework, and returns to help quickly identify root causes.
• Genealogy and traceability analysis: Using intuitive user interfaces and a self-driven ad-hoc analysis paradigm, the solution sets the foundation for “smart recall” analysis by providing comprehensive capabilities for backward and forward tracing of products and processes to quickly identify impacted products, services, and shippers.
• Predictive analysis: Leveraging the foundation of patterns and correlations analysis driven by machine learning and AI algorithms, this solution predicts the likelihood of occurrence of critical outcomes such as yield, defects, scrap, rework, cycle time and costs for ongoing production activities. This provides supply chain managers with the lead-time needed to intervene in a timely fashion to minimize losses.

Ramchand Raman, VP of Oracle Product Development, told SCMR in an interview that the new service is “purpose-built” for the manufacturing industry.

“We have been working with a handful of Discrete Manufacturing customers in the industrial manufacturing, hi-tech, automotive verticals as well as process manufacturing shippers in the metals, food and beverage, life sciences verticals,” he said. “The solution is designed and architected such that it can be extended by partners to meet specific requirements and use cases for any manufacturing industry vertical.”

He added that Oracle Adaptive Intelligent Applications for Manufacturing is built on the “robust and scalable” Oracle Cloud Infrastructure (OCI) as well as Oracle Cloud Platform technologies that includes a manufacturing-aware big data lake comprising of the Oracle Database Cloud and Oracle Big Data Cloud Services with embedded machine learning and artificial intelligence (AI) algorithms.

“The Oracle Cloud Infrastructure and Platform have the inherent capability to massively scale and analyze extremely large data sets of structured, semi-structured, and unstructured data collected from a heterogeneous mix of Information Technology (IT) systems,” he said.

Raman told SCMR that Oracle Adaptive Intelligent Applications for Manufacturing is currently Generally Available.

“We are working with a key set of customers as well as the academic community to build some of the following capabilities that are planned to be included in future releases,” he added.

This includes prescriptive and recommendation analytics to provide more specific recommendations to further optimize manufacturing operations, and audio/video/Image analytics to provide deeper insights on product quality

Learn More: Understanding the Basics of Using Oracle Cloud to Enable Your Organization

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