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Oracle Machine Learning Office Hours

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May 10, 2022

15:00 UTC   Start Times Around the World

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Description

Usage Highlight: OML4Py Embedded Python Execution SQL API on ADB
Join us for this Office Hours session on the new SQL API for OML4Py Embedded Python Execution. Using embedded execution, user-defined Python functions can be invoked on database-environment-spawned and managed Python engines and enables data-parallel and task-parallel processing. In this session, we'll see how to invoke such functions not only from Python but also from SQL and REST for ease of production deployment.

Your Experts

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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 system R for data science projects. She has worked with customers in fields as diverse as as pharmaceutical research, financial analysis, manufacturing and healthcare IT.
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    Akash Dharamshi

    Akash Dharamshi

    Akash Dharamshi is a member of the North American Specialist Hub at Oracle as a Solution Engineer with a focus on Business Analytics. He is tasked with enabling users and customers with adoption to business intelligence platforms. He works to develop architecture, business discovery, product positioning, and product evangelization, working closely with other product teams to enable customer success. He holds a Bachelors degree in Applied Mathematics and Data Science and an additional certification for Applied Statistical Modeling from The University of Texas at Austin.
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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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