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Optimize Machine Learning Models for Real-Time Financial Services

Optimize Machine Learning Models for Real-Time Financial Services

Released Tuesday, 22nd March 2022
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Optimize Machine Learning Models for Real-Time Financial Services

Optimize Machine Learning Models for Real-Time Financial Services

Optimize Machine Learning Models for Real-Time Financial Services

Optimize Machine Learning Models for Real-Time Financial Services

Tuesday, 22nd March 2022
Good episode? Give it some love!
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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

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From The Podcast

The Data Economy

The world has changed drastically in the last two years and businesses have to change with it. The need to move to the cloud, create digital experiences, and operate in real-time is more prescient than ever.The Data Economy is a podcast about leaders, like you, who use data to meet these new challenges. Michael Krigsman, Industry Analyst and Publisher of CXOTalk, sits down with executives at companies like Splunk, HP, UPS, Siemens, and EA to find out how they leverage data to power real-time experiences and create value in our modern economy. Listen to get a first-hand look into their business approach and learn how they use data to improve customer experience, increase business value, and stay at the forefront of the digital revolution.You can watch the video version of each episode on redis.com/thedataeconomy.If you’d like to learn more about data strategies and technologies your peers are leveraging, visit redis.com/business.

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