Deciphering Your Data with Peter Bailis, Founder and CEO of Sisu Data

This episode features an interview with Peter Bailis, Founder and CEO of Sisu Data and Assistant Professor of Computer Science at Stanford University. Peter’s research focuses on the design and implementation of post-database data-intensive systems.

In this episode Peter talks about how Machine Learning can inform reopening strategies amidst the Covid crisis, cutting edge Machine Learning research taking place at Stanford, the future integration of AI in our day-to-day lives, and much more. 

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