How Lenders Can Win More Business with Machine Learning episode artwork

EPISODE · Jul 18, 2019 · 26 MIN

How Lenders Can Win More Business with Machine Learning

from The AI in Business Podcast

This week, we interview Jay Budzik, CTO at ZestFinance, about where AI applies to the world of auto-lending. We speak with Budzik about how underwriting and credit scoring is evolving as a result of advances in machine learning. In addition, we talk about how companies might solve the "black box" of machine learning in finance, particularly how ZestFinance is focusing on transparent models. The financial sector has to contend with complex regulations that prevent certain information from being leveraged in credit models. It can be near impossible to determine how machine learning comes to the conclusions it does, but ZestFinance claims their software in part solves this problem.

NOW PLAYING

How Lenders Can Win More Business with Machine Learning

0:00 26:41

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

Frequently Asked Questions

How long is this episode of The AI in Business Podcast?

This episode is 26 minutes long.

When was this The AI in Business Podcast episode published?

This episode was published on July 18, 2019.

What is this episode about?

This week, we interview Jay Budzik, CTO at ZestFinance, about where AI applies to the world of auto-lending. We speak with Budzik about how underwriting and credit scoring is evolving as a result of advances in machine learning. In addition, we talk...

Can I download this The AI in Business Podcast episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.
URL copied to clipboard!