Remove AML Remove Credit Risk Remove Fraud Detection
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Can Agentic AI in Fintech Transform Financial Services Through Autonomous Intelligence?

Fintech News

In fintech, this means AI systems that dynamically manage credit risk, automate trading decisions, and even preemptively block fraud, all without human intervention. Also, the autonomous nature of the AI means decision-making is often removed from human oversight.

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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. Waiting until account holders fall behind to take action not only meant that customers’ credit scores would take a hit before their banks were alerted to a problem, but also that banks would lose the revenue from the scheduled payment.

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

Finextra

This broad applicability in banking (from automating fraud reviews to generating customer communications) underscores how financial firms are integrating GenAI into their core workflows more aggressively than most. Indeed, 64% of finance leaders report using AI for fraud detection and risk management in their institutions.

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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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FICO’s New AML Scores Use AI and Machine Learning to Detect More Money Laundering

FICO

FICO’s New AML Scores Use AI and Machine Learning to Detect More Money Laundering. New AML scores reduce false positive alerts by 50% while detecting 100% of known money laundering transactions, and discover new aberrant, potentially risky behaviors. AML Threat Score: Reducing False Positives Amid Defensive SAR Filings.

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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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Commercial Fraud Prevention in the Digital Age

Trade Credit & Liquidity Management

As the global marketplace grows more interconnected and transactions shift online, businesses face an unprecedented wave of commercial fraud attempts, from sophisticated “bust-out” schemes to synthetic identity fraud that blends real and fabricated data. Please consider becoming a paid subscriber. billion in 2022 to $252.7