TWIMLcon 2019


Scaling ML in the Traditional Enterprise

Traditional enterprises are often burdened by complex legacy systems, regulatory requirements, talent shortages, and other factors that make scaling machine learning more difficult than at startups. In this panel we discuss how traditional companies in a variety of industries can overcome these challenges and more successfully deliver data science and machine learning models into production.

Session Speakers

Department Chair
University of California
Global CTO
Director Data Science
Levi Strauss & Co.
Photo: Jürgen Weichenberger
Data Science Senior Principal & Global AI Lead, Resources

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