Remove Banking Remove Credit Risk Remove Data Analysis Remove Forecasting
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An AI Blueprint For More Profitable Portfolios In 2021

PYMNTS

This was a year that bent and broke quite a few risk forecasting models, thus all the more reason to bring AI smarts to bear on transaction volumes scaling far beyond a human pace. Circumstances] have underscored the singular importance of artificial intelligence (AI) in managing credit risk as well as supporting other bank operations.

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How AI Improves Enterprise Risk Management (ERM)

The Finance Weekly

For example, it manages borrower’s credit data and spots early financial signs. This helps lenders proactively tackle credit risks. Also, AI's predictive analysis forecasts borrower defaults and risk levels using data.

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Transcript: Rick Rieder

Barry Ritholtz

In fact, I was going to be a strategist, financial analyst to work for a bank and write research reports. And the ability to say, gosh, you know, there’s a lot of stuff in fixed income, that for a variety of reasons, central bank owns it, a pension fund owns it, insurance companies own it. RIEDER: Right. It has no value.