CBA Team Contact
Jay Budzik, Chief Technology Officer, ZestFinance
ABOUT THE WEBINAR:
AI and machine learning (ML) are sweeping through financial services, transforming how banks handle customer service inquiries and process automation. But the real gains from ML are yet to come once banks and lenders adopt machine learning in the core of their business: underwriting. In this webinar, you’ll find out why ML is so powerful in underwriting and how to use ML to increase the accuracy of your credit models, allowing you to approve better borrowers (by up to 15%) and reject more bad ones across the full range of applicants. Some banks that have dabbled in ML have struggled to explain their models, making it impossible to use them safely. In this webinar, you’ll learn about new algorithms that are making these formerly “black-box” models just as transparent and safe to use as legacy scoring techniques. If you want to understand how ML can power more profitable models while satisfying regulatory requirements, model risk management, and ongoing model monitoring, then this is the webinar for you.
THIS WEBINAR WILL COVER:
TOP 3 BENEFITS TO ATTENDEES:
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Jay Budzik is the CTO at ZestFinance, where his role is to invent new technologies, particularly in data mining and AI. He earned a Ph.D. in Computer Science at Northwestern and founded a company that brought AI-based search to enterprises. In his career, he has helped major media organizations apply AI & machine learning to expand their audiences and grow revenues, and developed systems that process tens of trillions of data points. He’s one of those people who thinks data is cool and that more data is always better.