Skip to Main Content

Oracle Machine Learning Office Hours

Free tips and training every month! Subscribe for reminders and more from Office Hours. FAQ

Header container

December 07, 2021

16:00 UTC   Start Times Around the World

Subscribe to be notified of changes to sessions and give us feedback!

Having trouble watching the video on this page? Open the video in your browser.


PM Update: What's New in Oracle Machine Learning on Autonomous Database
On this weekly Office Hours for Oracle Machine Learning on Autonomous Database, the OML PM team gave an update on the many new features of OML, including: OML Notebook updates, updated structure for OML and REST URLs, OML Services, support for Clustering on ONNX models, support for Italian language on OML Services cognitive text, new filters for modelType and shared attributes. They also introduced the new ESA Wiki model for Database 19c that can be used on premises and in the Cloud.

Video Highlights:
00:48 Topics for Today
01:15 OML Notebook updates - additions and updates
03:28 Updated structure for OML and OML REST URLs
06:02 REST API Authentication
06:45 Where to find the URLs for my tenancy?
07:57 Token acquisition for OML4Py REST APIs and OML Services
09:37 Link to access Oracle Machine Learning for Autonomous Database
10:03 OML Services - new support for ONNX clustering models
11:50 OML Services - Cognitive Text new support for the Italian language
12:37 OML Services - New filters for modelType and shared attributes
13:18 New ESA Wiki model for Database 19c
14:07 Steps used by Oracle to process Wikipedia data
16:00 Where can I download the new ESA Wiki model?
16:38 Demo: New URL to access OML
18:24 Demo: OML Services new URL
19:07 Demo: OML Services new modelType filter
19:52 Demo: OML Services new Clustering ONNX model support
22:10 Demo: OML4Py REST APIs new URL
24:29 Q&A

Your Experts

    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.
    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.
    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.

All Sessions