Remove Credit Risk Remove Regulatory Compliance Remove Risk Assessment
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Are Commercial Credit Bureau Reports Enough?

Trade Credit & Liquidity Management

In this data-driven economy, risk assessment demands more than simply evaluating whether a customer will pay their bills. To truly understand and manage credit risk today, modern companies must look beyond the basics and leverage new technologies, alternative data, and broader information sources.

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AI Becomes the Banker: 21 Case Studies Transforming Digital Banking CX

Finextra

Traditional areas like fraud prevention (65%), credit underwriting (62%) and regulatory compliance (58%) are still heavily prioritized, reflecting that these were some of the first uses of AI in banking and continue to be critical for reducing losses.

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Why AI’s Early Adopters Are Laser-Focused On Credit Risk And Payments

PYMNTS

These circumstances have brought to the fore what has long been a central concern for lenders: assessing and managing credit risk. This vital task is complicated even in normal times due to the multitude of financial risk factors in play at any given time. percent employ it for credit underwriting.

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New Data: Share Of FIs Using AI Has Increased 70 Pct

PYMNTS

Even more significantly, our research shows that FIs are using AI with greater focus than they have in the past, with two areas emerging as key applications: payments fraud and credit risk. Supervised systems like BRMS are simply not capable of responding to the dynamic, constantly shifting nature of these risks.

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Mckinsey: Generative AI to Transform Risk Management in The Next 5 Years

Fintech News

The report notes that several institutions have already started exploring the use of gen AI in risk management, citing regulatory compliance, financial crime, credit risk, modeling and data analytics, cyber risk and climate risk as emerging use cases.

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Understanding Risk Management Strategies as a PayFac

Stax

PayFacs handle risk assessment, underwriting, settling of funds, compliance, and chargebacks which exposes them to greater potential risks. Major risk factors for PayFacs include fraudulent transactions, merchant credit risk, regulatory compliance, and operational risks.

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Top 5 Analytics Posts: Explainable AI and Machine Learning

FICO

Indeed, taken together, they explored many aspects of Explainable AI and its applications, particularly in the area of credit risk. Here were the top 5 posts of 2017 in the Analytics & Optimization category: How to Build Credit Risk Models Using AI and Machine Learning. Read the full post. Who’s scoring you now? “I

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