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NEW REPORT: The Banks’ How-To Guide To Using AI To Manage Credit Risk

PYMNTS

Managing credit risk used to be a reactive process. Bank customers would fall behind on their payments, and their banks might react by imposing fees or having a case manager work with them to bring their accounts back up to speed.

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Today In B2B: ERPs Broaden B2B Payments Capabilities; Bloomberg Broadens Credit Risk Data Pool

PYMNTS

Today in B2B, Bloomberg broadens its credit risk data pool, and two ERP solutions secure B2B payments integrations. Bloomberg To Incorporate Credit Risk Data. The release stated firms have more often been looking for data to validate their own internal counterparty and credit risk assessment.

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Today In Digital-First Banking: Zelle Exceeds 1B P2P Payments; China’s Digital Yuan Tests Process 4M+ Transactions

PYMNTS

In today’s top news in digital-first banking, digital payments network Zelle crossed over the one-billion transaction mark, while China’s tests of a digital yuan have processed over four million transactions. Plus, Bloomberg clients will now have the capacity to use the company’s terminal to look at Credit Benchmark’s risk data.

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Model Behavior: Banks See AI As A Customer Experience Tool

PYMNTS

Given the roller coaster ride consumer finances have been on for the last 10 months, managing risk has become critical for financial institutions (FIs), both in terms of rising fraud counts and in terms of rising consumer delinquencies. Driving Actionable Intelligence In Real Time. And these models aren’t one-off events.

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WePay On The Art Of Payments Risk Management

PYMNTS

Joining PYMNTS’ Karen Webster for this week’s edition of the Unscripted Podcast, the pair agreed that in the digital age, risk management is such a complex, interconnected and vast topic that payments service providers in some sense need to write an entirely new rule book when to comes to capturing the emerging art of risk management. “On

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Deep Dive: Digital-First Banks Harness The Power Of Data Analytics

PYMNTS

Every interaction tells banks what customers actually want, meaning FIs just need the right tools to interpret this data. billion by 2025, with banks of all sizes leveraging such capabilities. Data analytics can give banks valuable insights into their customers’ financial lives and help them offer tailored financial products.

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The Security Threat Of Bank-FinTech Collaboration

PYMNTS

. “I would characterize it as a Big Data issue — it’s very intimidating to get started in third-party risk management,” Simkins said. ” Inexperienced or unfamiliar professionals may take a bottom-up approach to third-party risk management, analyzing risk on a vendor-by-vendor basis.