Thanks for a great Analytics and Data Summit 2019 event. We hope to see you next year Feb 25-27, 2020!
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Thursday, March 14 • 8:45am - 9:35am
Developing Predictive Applications with Oracle's Machine Learning

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Most machine learning projects fail to go beyond the data scientist. They hit a wall when they try to “operationalize” the ML models into enterprise production IT environments. Open source Python and R are great for data scientists but create problems with the DBA. This dichotomy between IT and data science is eliminated when the ML algorithms are part of the enterprise data management platform. By “moving algorithms to the data”, Oracle has extended the Oracle Database, Autonomous Database and Big Data platforms into hybrid data management and machine learning platforms. Data scientists and application developers can use their language or UI of choice (R, Python, SQL, “drag and drop” UIs and notebooks) to cooperatively build, develop and deploy ML models on premise or in the cloud. Learn how data scientists move beyond “ML tools” and now collaborate with IT, DBAs and application developers to deliver ML enabled applications. Several “Predictive Applications” will be shown.

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 →

Thursday March 14, 2019 8:45am - 9:35am PDT
1-Rm 102 350 Oracle Parkway, Redwood City, CA, United States