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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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A thoughtful approach to generative AI

Abrigo

Takeaway 2 AI can lead to more accurate and consistent outputs or predictions, better risk management, and improved customer experiences. DOWNLOAD Takeaway 1 With generative AI technology improving by the day, the question is not if the banking industry will utilize it, but when.

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Controlling the Narrative: How Financial Services Institutions Can Stay Ahead of Reputational Risk

Perficient

But, as one of the most regulated and notoriously untrusted industries, the financial services industry is among the most vulnerable to being impacted by negative digital media, driving up its vulnerability to reputational risk. However, these reputational risk management (RRM) frameworks are still widely underdeveloped.