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Carrington Labs Partners with Taktile to Enhance Credit Risk Strategies for Lenders

Finovate

Credit risk analytics company Carrington Labs has teamed up with decision platform Taktile to help lenders optimize their credit risk strategies. This leads to more accurate credit risk scoring, more approvals, and fewer defaults. The company is headquartered in Sydney, Australia.

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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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Fraud unveiled: Key takeaways from merchant roundtable discussion

The Payments Association

A roundtable discussion among merchants addressing the evolving challenges of fraud in their operations across various sectors. It highlights the necessity of advanced fraud detection and greater industry collaboration. Improving regulations, using technology for detection, and fostering industry-wide cooperation.

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SNEAK PEEK: Fraud unveiled: Key takeaways from merchant roundtable discussion

The Payments Association

A roundtable discussion among merchants addressing the evolving challenges of fraud in their operations across various sectors. It highlights the necessity of advanced fraud detection and greater industry collaboration. Improving regulations, using technology for detection, and fostering industry-wide cooperation.

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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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Banking on Intelligence: The Global Sprint to AI Maturity in Finance

Finextra

On the risk and operations side, common uses include fraud detection, anti-money-laundering pattern detection, credit risk scoring and trading optimization. finance leaders cite fraud and risk management as areas in which they use AI. This top-down support indicates that U.S. About 64% of U.S.

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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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