Mar 15–18, 2020
Jay Budzik

Jay Budzik
Chief Technology Officer, Zest AI

Website | @DouglasMerrill

Jay Budzik is the chief technology officer at ZestFinance, where he oversees Zest’s product and engineering teams. His passion for inventing new technologies—particularly in data mining and AI—has played a central role throughout his career. Previously, he held various positions, including founding an AI enterprise search company, helping major media organizations apply AI and machine learning to expand their audiences and revenue, and developed systems that process tens of trillions of data points. Jay has a PhD in computer science from Northwestern University.

Sessions

2:35pm3:15pm Wednesday, March 18, 2020
Location: LL21 E
Jay Budzik (Zest AI)
More companies are adopting machine learning (ML) to run key business functions. The best-performing models combine diverse model types into stacked ensembles, but explaining these hybrid models has been impossible—until now. Jay Budzik details a new technique, generalized integrated gradients (GIG), to explain complex ensembled ML models that are safe to use in high-stakes applications. Read more.

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