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Will generative AI crack the code for bank tech teams?



One of the major difficulties introducing generative artificial intelligence (AI) into the heavily regulated financial sector is ensuring those who use it have suitable expertise to understand its risks.

That requirement means one particular use case could be easier to adopt: assisting coding teams who already have a good grasp of algorithms and their limitations. Risk.net has spoken to more than 20 sources and determined that at least four global systemically important banks (G-Sibs) have put

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