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Oracle Machine Learning Office Hours

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May 30, 2023

15:00 UTC   Start Times Around the World

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Description

Migrating Oracle Machine Learning Models from Development to Production
Even when machine learning models produce useful results, they only add value to an organization when their insights are regularly available to end users. Traditional solutions for migrating models across development, staging, and production databases offer challenges in model storage and management, causing delays and failures in model deployment. Join us for this Office Hours session to learn how Oracle Machine Learning streamlines the process of exporting and importing models across databases and platforms.
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This session: https://asktom.oracle.com/pls/apex/asktom.search?oh=21383

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Your Experts

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    Ethan Shmargad

    Ethan Shmargad

    Ethan is a Technical Solution Engineer with expertise in both cloud and on-prem data platform technologies surrounding integration, ML/AI, Security, and the database. Ethan has worked and contributed on a number of projects surrounding OML notebooks, cloud automation/OCI terraform, database telemetry, GoldenGate, Data Mesh, LiveLabs, and more.
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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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    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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