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In this first Office Hours session for Oracle Machine Learning, Mark Hornick provides an introduction to the Oracle Machine Learning (OML) family of products, both on-premises and on the Oracle Cloud. Learn about the key component technologies and features available today, and that are coming soon. See how the key attributes of automation, scalability, and production readiness enable enterprises to increase productivity, achieve enterprise goals faster, and innovate more. Oracle Machine Learning consists of complementary components supporting scalable machine learning algorithms for in-database and big data environments (including Cloud and on-premises), notebook technology, SQL, Python and R APIs, and Hadoop/Spark environments. Video highlights: 00:20 - Oracle Machine Learning Key Attributes 03:00 - OML components rebranding 04:40 - OML empowers Enterprise Users 09:55 - Cross-Platform Machine Learning 13:40 - OML Notebooks and OML4SQL 21:50 - OML4R and OML4Python 33:20 - AutoML with OML4Py 37:17 - OML4Spark 39:27 - Application Integration with OML 41:10 - OML Roadmap 50:38 - Q&A Full set of slides available at: https://asktom.oracle.com/pls/apex/as... AskTOM Office Hours offers free, monthly training and tips on how to make the most of Oracle Database, from Oracle product managers, developers and evangelists. https://asktom.oracle.com/ Oracle Developers portal: https://developer.oracle.com/ Sign up for an Oracle Cloud trial: https://cloud.oracle.com/en_US/tryit