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Oracle Machine Learning Office Hours

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March 01, 2022

16:00 UTC   Start Times Around the World

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Description

PM Update: What's new and what's coming for Oracle Machine Learning
Join us for an update on new Oracle Machine Learning features and a discussion of our roadmap for 2022. We’ll start with a brief OML component overview and discuss OML in the context of the converged Oracle Database. Since our Office Hours audience expressed interest in more SQL-focused content, we’ll look at the OML4SQL Clustering Expectation Maximization notebook.

0:48 Oracle Machine Learning Overview
4:33 Oracle Converged Database
5:52 OML 2022 Roadmap
10:15 Recent OML Features
12:23 OML Services Overview
14:08 OML Services REST Example
15:38 OML Notebooks New Additions and Updates
17:38 OML4SQL Clustering EM Demonstration
32:25 Oracle Data Miner Overview
33:52 OML4Py "Universal" Client and 19c Support
35:27 OML4Py Embedded Python Execution SQL API
37:48 OML Monitoring
41:32 OML Resources
42:50 Q&A

Resources
OML Webpage: https://oracle.com/machine-learning
OML Blog: https://bit.ly/omlblogs
OML GitHub Repository: https://bit.ly/omlgithub
OML Office Hours: https://bit.ly/omlofficehours
OML on ADB Specialist Certification: https://bit.ly/omlcertification
Oracle Learning Subscription for OML: https://bit.ly/omllearning
Tutorial - OML Fundamentals on ADB: https://bit.ly/omlfundamentalshol
Tutorial - OML4Py: https://bit.ly/oml4pyhol
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Your Experts

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    Mark Hornick

    Mark Hornick   

    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, and working with internal and external customers in applying Oracle’s machine learning technologies for scalable and deployable data science projects. Mark is Oracle’s representative to the R Consortium and an Oracle adviser and founding member of the Analytics and Data Oracle User Community. He holds a bachelor's degree from Rutgers University and a master's degree from Brown University, both in Computer Science.
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    Sherry LaMonica

    Sherry LaMonica

    Sherry is a member of the Oracle Machine Learning Product Management team. She has 20 years of software experience focused on enabling the commercial use of the open-source data analysis software systems R and Python for data science and machine learning projects. She has worked with customers in fields as diverse as as pharmaceutical research, financial analysis, manufacturing and healthcare IT.
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    Marcos Arancibia

    Marcos Arancibia   

    Marcos Arancibia is a Senior Principal Product Manager in the Oracle Autonomous Database team. He is charted with developing a comprehensive platform for enabling all customers and use cases to be successful on Autonomous Database, and working with developers to bring their Applications and workloads as well. Within Product Management he works to develop product strategy, roadmap prioritization, product positioning and product evangelization, working closely with the engineering teams in defining the product roadmap for Autonomous Database. He previously was a PM for Oracle Machine Learning, and before joining Oracle in 2010 he spent 13 years at SAS Institute Inc., from Country Manager in LAD to Regional Data Mining lead in the US. He holds a bachelor's degree with additional courses in the master's degree, both in Statistics from UNICAMP in Brazil. He has Certifications from Stanford on AI and Machine Learning, and from the University of Washington on Computational Neuroscience.
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