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December 11, 2019

Oracle's Comprehensive Machine Learning Platform
Eager to adopt machine learning in your enterprise? Get an inside look at Oracle's platform AI solutions including new approaches using machine learning and data science.

In this session learn Oracle’s strategy and solutions for AI across all of Oracle cloud platform and how they support both data scientists and the extended data science team of data engineers, business analysts, and application developers. Learn how to take advantage of the machine learning capabilities embedded in Oracle Database, Hadoop, and Oracle Analytics, and see how Oracle Data Science Cloud improves teamwork and shortens time to value.

Slides used can be found in the Resources section.

Video highlights are below:
01:56 Oracle Advanced Analytics Option now free with Oracle Database (Mark Hornick)
06:02 Oracle's Comprehensive Machine Learning Platform (Wes Prichard)
07:03 Challenges of Machine Learning
09:55 Machine Learning made easier for you
15:49 Machine Learning in Oracle's products
18:45 Building Machine Learning Solutions
21:30 Oracle Machine Learning - ML in Oracle data management systems
27:20 OCI Data Science - collaboration and scalability for data science teams
29:32 3rd Party ML Solutions - performance with your own tools
30:24 Advanced Analytics Capabilities
34:05 Summary of Machine Learning made easier for you
36:20 Q&A

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Experts

Your Experts
WesPrichard
WesPrichard, Senior Director, Industry Solution Architecture
Wes Prichard is Senior Director of Industry Solution Architecture for big data, machine learning, and data science. He focuses on data and technology solutions drawing on his experience with a wide variety of industries and government as a technology consultant and a hands-on practitioner with multiple Oracle technologies.
Marcos Arancibia
Marcos Arancibia, Product Manager, Data Science and Big Data    
Marcos Arancibia is the Product Manager for Oracle Data Science and Big Data. He works with Machine Learning in the Oracle Database and on Big Data clusters under Hadoop and Spark, on premises and in the Oracle Cloud. He works within Product Management to develop product strategy, roadmap prioritization, product positioning and product evangelization, working closely with the engineering team in defining the product roadmaps for Oracle Machine Learning and Big Data in the Cloud. Before joining Oracle 9 years ago he was at SAS Institute Inc. for 13 years as a Data Mining architect and expert in the US and Latin America. He holds a Bachelor Degree of Science in Statistics with additional courses in the Master of Science in Statistics, both from UNICAMP in Brazil. He has Certifications from Stanford on AI and Machine Learning, and from the University of Washington on Computational Neuroscience. He is an expert on Deep Learning and passionate about Machine Learning.
Mark Hornick
Mark Hornick, Senior Director, Product Management, Data Science and Machine Learning    
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 and leveraging machine learning with Oracle technologies, working with internal and external customers in the application of Oracle’s machine learning technologies for scalable and deployable data science projects. Mark is Oracle’s representative on the R Consortium’s Board of Directors, an Oracle Adviser and founding member of the Business Intelligence Warehousing and Analytics (BIWA) User Community, and Content Selection Committee Chair for the Analytics and Data Summits.