Remove Customer Experience Remove Management Remove Risk Management
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6 Digital Banking Trends for 2025

Perficient

Digital transformation will remain a powerful force, with advancements in AI and machine learning enabling unparalleled operational efficiencies and hyper-personalized customer experiences. Investing in advanced technologies like AI and machine learning can help identify potential risks and streamline compliance efforts.

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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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Model Behavior: Banks See AI As A Customer Experience Tool

PYMNTS

Given the roller coaster ride consumer finances have been on for the last 10 months, managing risk has become critical for financial institutions (FIs), both in terms of rising fraud counts and in terms of rising consumer delinquencies. But AI, he said, can provide a lot more than that in terms of protecting FIs from risk.

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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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Unlocking the Power of Azure Integration Services for the Financial Services Industry

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For example, a bank can integrate its transaction processing system with Azure Machine Learning to instantly identify and flag suspicious activities, reducing fraud risk. Seamless Payment Processing Financial organizations can offer seamless and secure payment processing services by integrating payment gateways with Azure API Management.

Industry 467
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AI Regulations for Financial Services: OCC

Perficient

As noted at the time 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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Citi Treasury Teams With Feedzai To Offer Real-Time Risk Management

PYMNTS

19) that it has inked a partnership deal with Feedzai, an artificial intelligence (AI) developer for real-time risk management across banking and commerce. Citi is one of the most successful banks in the world for a reason, because they invest in their customersexperience,” said Nuno Sebastiao, Feedzai CEO and co-founder.