Gen AI in Banking: Recognizing the challenges
Tom Spencer
AUGUST 30, 2024
These include managing data security, integrating legacy technology, navigating ethical issues, addressing skills gaps, and balancing benefits with regulatory risks. Secondly, they may store data in siloed or proprietary formats, making it difficult to access and retrieve data for AI model training and analysis.
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