Remove Community Remove Knowledge Base Remove Regulation Remove Risk Management
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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.

Examples 222
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Recap of Money 20/20 USA 2023 and 10 Banking Thoughts

South State Correspondent

As can be seen, the conference largely revolved around payments, artificial intelligence, fintech partnerships/management, regulation, and fraud/identity in its various forms. Generative AI: Traditional AI was ever-present in touted solutions regarding fraud, risk management, and the customer experience.

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Banking on a Winner: Fostering innovation to compete in today’s financial environment

ZootBlog

In today’s environment, as banks manage increased regulation and competition from industry outsiders, they must operate in the same fashion. Smaller community banks are finding it beneficial to collaborate with neobanks. They become students of the game. So what does this have to do with banking? Everything.