Optimize Machine Learning Models for Real-Time Financial Services

Scott Zoldi is Chief Analytics Officer at FICO responsible for the strategy and analytic development of FICO’s product and technology solutions. In this episode, Scott shares how FICO uses analytic models and data to make real-time critical decisions around payments, fraud, and credit. Plus, he’ll share his perspective on data privacy and data governance as it relates to personal data. Watch the video version of The Data Economy at redis.com/thedataeconomy Produced by Eric Johnson from Lightningpod.fm

You can listen to Optimize Machine Learning Models for Real-Time Financial Services online on Radio and Podcast. Open the player on this page to stream the available audio.

Optimize Machine Learning Models for Real-Time Financial Services is an episode from The Data Economy by Redis.

This episode is 43:58 long.

This episode was published on Mar 22, 2022.

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