Redwood Shores, Calif.—May 14, 2018
Oracle today announced new artificial intelligence (AI) cloud applications that enable manufacturing organizations to reduce costs and increase yields by providing rapid analysis and actionable insights that can improve production efficiency and performance. The new Oracle Adaptive Intelligent Applications for Manufacturing leverage machine learning and AI to process vast amounts of data from production environments and rapidly identify issues, enabling improved operational efficiency.
Oracle Adaptive Intelligent Applications for Manufacturing enables manufacturers to spot anomalies during production, pinpoint the root cause of issues, and predict events before they occur. The applications enable manufacturers to look into every stage of the production process, foresee faulty processes and elements, and trace the impact of issues from production through to customer delivery.
Built on the robust and scalable Oracle Cloud Platform with embedded machine learning capabilities, this solution includes a manufacturing-aware data lake that brings together and analyzes structured, semi-structured, and unstructured data from multiple data sources on the shop floor.
Oracle Adaptive Intelligent Applications for Manufacturing include:
Oracle Adaptive Intelligent Applications for Manufacturing are designed to work in a complex and heterogeneous mix of IT systems such as Manufacturing Execution Systems (MES), Quality Management, Enterprise Resource Planning (ERP), Human Capital Management (HCM), Customer Relationship Management (CRM) and Operational Technology (OT) systems that include sensor and log data from equipment and machines as well as external environmental data such as humidity, temperature etc.
“Traditionally, pattern and correlation analysis and predictive analysis are done by a small group of specialist data scientists,” said Ramchand Raman, Vice President, Oracle Product Development. “Oracle Adaptive Intelligent Applications for Manufacturing dramatically simplify the output of complex machine learning and AI algorithms and present these insights to average business users to drive better, faster decision making.”
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