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Feature Highlight: Data and Model Monitoring in Autonomous Database

Machine Learning models are increasingly used to make business decisions in production environments. It is critical to ensure that these models make accurate predictions and are robust to shifts in the data. Oracle Machine Learning Services extends OML functionality in Autonomous Database to support model deployment and model lifecycle management via REST APIs. In the coming weeks, data and model monitoring capabilities will be introduced. With these features, users can track the accuracy of their machine learning models in production and understand data trends by viewing performance degradation alerts. Join us to learn about these upcoming features and see demonstrations using cURL and Postman.

Resources

Featured Speakers

  • Speaker

    Miles Novotny


    Solution Engineer

  • Speaker

    Mark Hornick

    Oracle
    Senior Director, Product Management, Machine Learning and AI

  • Speaker

    SHERRY LAMONICA


    Consulting Member of Technical Staff, Oracle Machine Learning Product Management

Workshop Info

Session Has Completed - 28 February 2023
30 Minutes
Oracle Machine Learning Office Hours
English
Oracle Machine Learning