University of Cambridge > > Data Intensive Science Seminar Series > From Metrics to Models - Data Science at a Fashion Tech Startup

From Metrics to Models - Data Science at a Fashion Tech Startup

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If you have a question about this talk, please contact James Fergusson.

Erika Nitsch is the Data Science Lead at Metail, the revolutionary body shape and garment digitisation company. Her team’s mission is to use retailers’ and Metail’s rich data asset to help retailers deliver the best possible online shopping experience and uncover new efficiencies. She believes data science is the future of shopping: through Artificial Intelligence-led personalisation, deep learning-based computer vision, and rigorous experimental validation of game-changing ideas. Erika and Jim Downing, Metail CTO , will talk about the evolution of Data Science at Metail from measuring performance of new product features to creating models that are data products in their own right, including style-based product recommendation and computer vision-based garment attribute prediction . We will also talk about some of the applications of computer vision to our toolchain and product, and how we go about building training sets to enable their development.

This talk is part of the Data Intensive Science Seminar Series series.

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