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Model Behavior: Banks See AI As A Customer Experience Tool

PYMNTS

Mastercard ’s Vice President, Global Head of Product for Artificial Intelligence (AI) Express and Credit Risk Amyn Dhala told Karen Webster in a discussion that technology can make that real-time risk management attainable. But AI, he said, can provide a lot more than that in terms of protecting FIs from risk.

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Bank Regulators Seeking Comments on the Use of AI and ML in the Industry

Perficient

Finally, views are sought for compliance with applicable laws and regulations, including those related to consumer protection. Personalization of Customer Services. AI technologies, such as voice recognition and natural language processing (NLP), are being used to improve customer experience and to gain operational efficiencies.

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Crowe: Risk Management With RegTech As Strategy

PYMNTS

Marry tech and talent, then risk management can pay dividends, notes an upcoming PYMNTS webinar. He noted that in the financial services realm, firms are already heavily regulated and they struggle with the looming threat of consequences, should shortcomings arise, when it comes to risk management.

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OCC Considers Artificial Intelligence an Emerging Risk in Banking

Perficient

Positive Aspects of AI in Financial Services As noted by the OCC, advances in computing capacity, increased data availability, and improvements in analytical techniques, have significantly expanded opportunities for banks to leverage AI for risk management and operational purposes.

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The top lending & credit risk blogs of the year

Abrigo

Read the blog for information that can help lenders avoid risk before the project begins by planning ahead at the closing table. But the benefits of automation are a key part of the customer experience. Regulators stress the importance of accurate and timely risk ratings, especially during economic uncertainty.

Lending 221
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An Introduction: Generative AI Use Cases for the Financial Services Industry

Perficient

Generative AI ingests data and understands guidelines incredibly well; therefore, businesses across industries are jumping to take advantage of all the possible ways the tool can help save them money and create elevated, uber-personalized customer experiences.

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AI and generative AI use cases in banking: 6 real-world examples

Abrigo

Takeaway 3 Regulators are closely watching expanded uses of AI and generative artificial intelligence. Seeing generative AI use cases can help bankers, risk managers, and financial crime professionals better understand it. Another reason for reluctance about generative AI is the highly regulated nature of banking.

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