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August 22, 2023

15:00 UTC   Start Times Around the World

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Description

Use Case: Customer Segmentation Approaches using OML and OAC
Customer segmentation is a task that is applicable to a wide variety of industries and can bring significant benefits to an enterprise. Oracle Machine Learning enables you to create both supervised and unsupervised machine learning models supporting customer segmentation. Additionally, the visualization capabilities of Oracle Analytics Cloud allow for a rich interface in which to dissect and understand these segments. Join us for this session to explore different approaches to customer segmentation and how to implement them using Oracle Machine Learning and Oracle Analytics Cloud.
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This session: https://asktom.oracle.com/pls/apex/asktom.search?oh=21966

Your Experts

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    Miles Novotny

    Miles Novotny

    I am a Solution Engineer working out of the North America Specialist Hub who specializes in analytics solutions and has a strong interest in machine learning.
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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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