The Art of A.I. Storytelling: Explaining Machine Learning Insights to Business w/ Jen Underwood (Episode 58) #DataTalk

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Every week, we talk about important data and analytics topics with data science leaders from around the world on Facebook Live.  You can subscribe to the DataTalk podcast on Google Play, Stitcher, SoundCloud and Spotify.

In this #DataTalk, we’re talked with Jen Underwood about ways to explain machine learning insights to business.

This data science video series is part of Experian’s effort to help people understand how data-powered decisions can help organizations develop innovative solutions.

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About Jen Underwood

Jen Underwood, founder of Impact Analytix, LLC, is a recognized analytics industry expert. She has a unique blend of product management, design and over 20 years of “hands-on” development of data warehouses, reporting, visualization and advanced analytics solutions. In addition to keeping a constant pulse on industry trends, she enjoys digging into oceans of data. Jen is honored to be an IBM Analytics Insider, SAS contributor, former Tableau Zen Master, and active analytics community member.

In the past, Jen has held worldwide product management roles at Microsoft and served as a technical lead for system implementation firms. She has launched new analytics products and turned around failed projects. Today she provides industry thought leadership, advisory, strategy, and market research.

Jen has a Bachelor of Business Administration – Marketing, Cum Laude from the University of Wisconsin, Milwaukee and a post-graduate certificate in Computer Science – Data Mining from the University of California, San Diego.

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