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Zest AI CEO: Artificial Intelligence Is Reshaping Lending and Credit

PYMNTS

On average, our customers will see a 20 percent lift in approvals and a 30 percent reduction in charge-offs just by deploying better math,” de Vere said. Those are the kind of numbers that explain why Zest received a $15 million investment last week from software developer Insight Partners. 15M In New Funding .

Math 138
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Letting Go Of ‘Set It And Forget It’ Decisioning

PYMNTS

Whether it’s decisioning models used for fraud, credit risk, customer operations or marketing, AaaS can be a powerful tool in helping a company address whatever it is trying to solve. Whether that decision flow is around marketing, credit risk, customer operations and retention, etc., The “Buy Vs. Build” Decision.

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Transcript: Greg Davis, CIO Vanguard

Barry Ritholtz

And it worked out and had multiple job offers coming out of school from a number of different insurance companies. I had a number of relationships that I built up and had another job lined up in New York City. DAVIS: So when we think about how those teams are evaluated, it’s a three-year number. So how did you perform?

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Transcript: Rick Rieder

Barry Ritholtz

And like I say, that’s part of why it’s translated to a number of people coming to BlackRock and be with me today. RIEDER: So I had known Larry Fink and Rob Caputo, our CEO and president, for a number of years. And we have a great team in Asia and Europe. So yeah, man, that was the idea. You said BlackRock absorbed R3.

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Transcript: Ted Seides

Barry Ritholtz

Or at least the top, pick a number, 30, 40%. I don’t remember the number. The challenge is unlike the S&P 500, hedge funds sit in a box that has underlying credit risk from prime brokers. So the credit markets froze. So you’re talking about an average of a large number. Less, 20, 30%?

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Transcript: Kristen Bitterly Michell

Barry Ritholtz

And so, with this gave me exposure to everything from investment banking to retail, looking at like checking account campaigns, like how do you get more assets in the door to credit risk. I wasn’t that typical person that did a number of, you know, internships during the summer, had that …. I was econ and kind of geeky.

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Transcript: Sean Dobson, Amherst Holdings

Barry Ritholtz

And up until that moment in time, we didn’t spend a lot of time on credit risk in mortgages. We didn’t really have to model credit risk because that was, that risk was taken by the agencies. But in these private labels, you had the, the market was taking the credit risk.