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Wednesday, March 13 • 11:10am - 12:00pm
Predictive Analytics for Maintenance and Repair

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Oracle develops a number of business applications for organizations that deliver asset maintenance and/or repair. These applications provide planning, scheduling, optimization and controls that can save large organizations many millions of dollars, extend the lifespan of assets and ensure assets work when they are needed. Many maintenance and repair business cases are particularly well suited to using artificial intelligence (AI) and machine learning (ML) tools: optimizing maintenance schedules requires predicting when asset classes and parts will fail; predicting individual asset failures with enough time to prevent downtime requires identifying patterns and anomalies in the IoT sensor data stream; providing the right first-time fix requires predicting the root cause of failure and how best to fix it based on symptoms and circumstances; and many more examples. This session will explore Oracle's various applications, business cases and AI and ML tools for maintenance and repair.

avatar for Kannan Balakrishnan

Kannan Balakrishnan

Senior Director, Oracle USA Inc
Kannan Balakrishnan is Senior Director of product development at Oracle Corporation and leads engineering and architecture for eCommerce, Mobile Field Service and Adaptive Intelligence cloud applications for CRM and Supply Chain Management. Mr Kannan has been with Oracle since 1996... Read More →
avatar for Lee Sacco

Lee Sacco

Senior Director, Applications Development, Oracle
Lee Sacco is Senior Director of Applications Development in Oracle's Supply Chain Applications group, working with maintenance, repair and reverse logistics solutions for Fusion Cloud and E-Business Suite. He has been with Oracle for nearly two decades, having previously worked with... Read More →
avatar for Charlie Berger

Charlie Berger

Sr. Dir. Product Mgmt, Oracle Machine Learning, AI, Oracle
Charlie Berger is the Sr. Director of Product Management, Machine Learning, AI and Cognitive Analytics in Oracle Server Technology. Since 1999, he has been responsible for Oracle’s machine learning—starting when Oracle acquired Thinking Machines Corporation where he was VP of... Read More →

Wednesday March 13, 2019 11:10am - 12:00pm PDT
1-Rm 102 350 Oracle Parkway, Redwood City, CA, United States