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

Abrigo

You might also like this webinar, "The check's in the mail: Understanding and preventing check fraud." WATCH Takeaway 1 Understanding generative AI and how peers are using AI and genAI helps financial institution leaders and management vet the technology and related risks. Introduce key takeaway below. This short be 2 lines max.

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

Perficient

The agencies collectively announced a request for information (RFI) to gain input from stakeholders including financial institutions, trade associations, and consumer groups. fraud detection and financial crime monitoring). email, text, audio data), with the aim of identifying fraud or anomalous transactions. Risk Management.

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Sift Science Eyes Global Fraud Prevention With $53M In Funding

PYMNTS

Fraud detection startup Sift Science has raised $53 million in a series D round, bringing its total amount raised to $107 million. Founded in 2011, Sift Science plans to use this latest round of funding to grow its fraud detection and prevention product globally. Clients include Twitter, Airbnb, Twilio, Instacart, Zillow and Yelp.

Fraud 108
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10 Reports every bank and credit union should run NOW

Abrigo

Banking reports to inform risk management and strategy These reports on capital, growth, and liquidity help financial institutions spot warning signs. They help manage and shape strategy in volatile economic and industry conditions. the movement of money out of money market funds to CDs versus new deposit money coming in).

Report 195
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Why community banks should partner with fintechs

Independent Banker

Those conversations, he says, centered around whether community banks could compete against this brash group of newcomers. Fraud and risk management. By quickly ushering in a new digital reality, banks have been forced to update their fraud and risk management practices, too. Digital account opening.

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Model governance comes to fraud detection

Insights on Business

Payment fraud detection has always had a bit more latitude than its counterparts in anti-money laundering, customer due diligence and even trade surveillance compliance. Unlike the latter areas, fraud prevention is an area not as heavily governed by regulations or specific rules of what a financial institution should or should not allow.

Fraud 102
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How fraudsters target different generations

Independent Banker

Financial fraud and cyber attacks aren’t a one-age-fits-all scenario. Community banks can find ways to mitigate age-related fraud through technology, as well as by educating their customers of their particular risks. Reports about fraud losses: Millennials vs. people 40+. How to minimize age-related fraud.

Fraud 133