Remove Knowledge Base Remove Management Remove Regulation Remove Risk Management
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AI and generative AI use cases in banking: 6 real-world examples

Abrigo

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. Takeaway 3 Regulators are closely watching expanded uses of AI and generative artificial intelligence. GenAI is seeing varied use cases in banking.

Examples 221
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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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Wake up: Your bank is not efficient

Gonzobanker

The plain truth is that banking has too many high paid managers who would struggle to justify what they do productively with their 2,000 hours of work time per year. Efficient and agile banks of the future will require that EVERY manager operates with a scorecard of key revenue, efficiency, service and risk management metrics.

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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. Their strategy is to develop such strong muscle memory that when they are in competition, their body executes flawlessly. They become students of the game. Everything.