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Oracle Machine Learning Office Hours

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September 27, 2022

15:00 - 16:00 UTC    Start Times Around the World

Description

OML4R 2.0 Embedded R Execution using R, SQL, and REST APIs
Join us for this Office Hours session on OML4R Embedded R Execution on Autonomous Database. Using embedded R execution, run user-defined R functions on database-environment-spawned and managed R engines, even with system-supported data-parallel and task-parallel processing. In this session, we’ll demonstrate embedded R execution, and see how to invoke such functions not only from R but also from SQL and REST for ease of production deployment, with output formats including structured data, XML, JSON, and PNG images.

Your Experts

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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 Analytics and Machine Learning. He works to develop architecture, business discovery and product development to enable customer success. He holds a Bachelors degree in Applied Mathematics, Data Science and Statistics from The University of Texas at Austin.
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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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