Scaling ML in the Traditional Enterprise
Tuesday, October 1
3:55 pm
4:25 pm
Robertson Auditorium

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.


Amr Awadallah

Global CTO

Pallav Agrawal

Director Data Science
Levi Strauss & Co.

Jürgen Weichenberger

Data Science Senior Principal & Global AI Lead, Resources

Joshua Bloom

Former CTO and Co-Founder of at GE Digital; Professor
UC Berkeley
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