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Thursday, May 30 • 1:15pm - 2:00pm
Hyper-Segmentation for Automated Insights Across Industries

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Unsupervised learning is still very relevant in the new world of advanced AI and it is especially helpful when the right answer is unclear, complex or multi-dimensional. In this session we will introduce a methodology of Hyper-Segmentation which is an automated clustering approach that aims to create the most meaningful groups across a vast feature space. It can be applied to many industries and problems to deliver novel insights to data owners. We will review examples including targeted marketing for ecommerce customers, predictive asset failure understanding for utilities, and sales support for healthcare payers. 

avatar for Matt Mazzarell

Matt Mazzarell

Senior Data Scientist, Teradata
Matt Mazzarell is a Senior Data Scientist for Teradata. Based in New Orleans, LA, Matt has diverse experience working with clients in Banking and Financial Services, Telecom, Manufacturing and Healthcare. He has been a frequent speaker at Teradata Analytics Universe working with clients... Read More →

Thursday May 30, 2019 1:15pm - 2:00pm CDT
(D) P0808 A&B Normandale Partnership Center, 9700 France Ave So, Bloomington, MN 55431