Oracle Machine Learning: Overview, What’s New?, AutoML, Customer Use Cases, Appls & Road Map
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Posted by Quest Customer Learning Team
- Last updated 4/13/21
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Presented at INSYNC 21
Session ID: 100090
Oracle Machine Learning is now a free feature in Oracle Databases (on-premises, Cloud and Autonomous). As part of Oracle’s Converged Database strategy, OML “moves the algorithms; not data” processing data where it resides. Oracle Machine Learning extends Oracle Database(s) delivering 30+ ML algorithms and AutoML functionality via SQL (OML4SQL) and integration with open source languages: Python, OML4Py and R, OML4R. This OML presentation and demonstration(s) highlights existing and new OML features: AutoML, AutoML UI, new algorithms in 21c, OML4Py and OML Services. Now Oracle DBAs, users and application developers can leverage OML’s ML algorithms to discover new insights, make predictions and deploy ML models enterprise-wide via APEX, Oracle Analytics Cloud and embedded in Applications. Come learn how to get started taking immediate advantage of these free and powerful in-database ML capabilities.
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