Benchmarking Custom Computer Vision Services at Urban Outfitters with Thomas Szumowski

EPISODE 247

April 3, 2019

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Banner Image: Thomas Szumowski - Podcast Interview

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About this Episode

Today we're joined by Tom Szumowski, Data Scientist at URBN, the parent company of Urban Outfitters, Anthropologie and other consumer fashion brands. Tom and I caught up recently to discuss his project "Exploring Custom Vision Services for Automated Fashion Product Attribution." We start our discussion with a definition of the product attribution problem in retail and fashion, and a discussion of the challenges it offers to data scientists. We then look at the process Tom and his team took to building custom attribution models, and the results of their evaluation of various custom vision APIs for this purpose, with a focus on the various roadblocks and lessons he and his team encountered along the way.

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Thanks to our sponsor PegaSystems

Thanks to our friends at Pega for their support of the podcast and their sponsorship of today's show. Pega is a low-code platform for AI-powered decisioning and workflow automation. Its scalable architecture helps the world's leading organizations work smarter, unify experiences, and adapt instantly - so they're always ready for what's next. Check out the latest from Pega at their annual conference PegaWorld inspire, which will focus on how to address constantly shifting perspectives in an ever-evolving world, including guidance, strategies, and powerful tools to achieve resiliency in the face of rapid change. The event will be held virtually on May 24th for the Americas and Europe. And again, on May 25th for Asia Pacific. Agenda and registration details can be found at pegaworld.com.