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Tuesday, February 25 • 4:20pm - 5:10pm
Scaling R and Python for the Enterprise

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Open source environments such as R and Python offer tremendous value to data scientists and developers. Scalability and performance on large data sets, however, is not their forte. Memory constraints and single-threaded execution can significantly limit their value for enterprise use. With Oracle Machine Learning's R and Python interfaces to Oracle Database, users can take their use of R and Python to the next level—deploying for enterprise use on large data sets with ease. This session introduces the key functional areas of OML4R and OML4Py and demonstrates how to get the best combination of open source and Oracle Database.
Speakers
avatar for Mark Hornick

Mark Hornick

Senior Director, Oracle
Mark Hornick is the Senior Director of Product Management for the Oracle Machine Learning (OML) family of products. He leads the OML PM team and works closely with Product Development on product strategy, positioning, and evangelization, Mark has over 20 years of experience with integrating... Read More →
avatar for Marcos Arancibia

Marcos Arancibia

Product Manager, Oracle Data Science and Big Data, Oracle
Marcos Arancibia is the Product Mgr for Oracle Data Science and Big Data, working with Machine Learning in the Oracle Database and on Hadoop/Spark clusters. He is charted with developing a comprehensive platform for enabling a new class of analytical workloads encompassing techniques... Read More →

Tuesday February 25, 2020 4:20pm - 5:10pm PST
Bldg 23- Rm 1730 .
  Artificial Intelligence and Machine Learning, Full Session (50 minutes)