Oracle Machine Learning: Overview, New Features, Customers, Applications & Road Map
-
Posted by Quest Customer Learning Team
- Last updated 7/20/20
- Share
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.
Watch the full-length video
Premium Content: access is limited to Quest Corporate and Professional members.
Membership has its perks. Get unlimited access to the latest Oracle updates, event session replays, strategic content centers and special members-only programming, plus big discounts on conference registration, with a Quest Corporate or Professional membership. Quest is where you learn.