Oracle Machine Learning: Overview, New Features, Customers, Applications & Road Map
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Posted by Quest Customer Learning Team
- Last updated 7/20/20
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Quest Forum Digital Event 2020
Oracle Machine Learning “moves the algorithms to the data”, processing data where it resides—in the Oracle Database (On-premises, Cloud, and Autonomous). This next-generation, hybrid, combined Data Management, and Machine Learning platform enables companies to harvest more insights from their data, eliminates data movement, delivers scalability, preserves security, and accelerates model deployment. Oracle Machine Learning’s 30+ in-database algorithms can address many business problems e.g. predicting behavior, finding anomalies and detecting potential fraud, recommending “next best offers”, sentiment analysis, anticipating churn and discovering key attributes. OML supports the key roles—data scientists, business and data analysts, database and application developers, and executives with ML algorithms, SQL, R and Python APIs, AutoML, notebooks, UIs, and tight integration with open-source R and Python. Come hear the latest developments, how to get started and what’s coming next.
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