In finance, the quality of your AI is only as good as the data behind it
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In finance, the quality of your AI is only as good as the data behind it
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"The quality of your AI output is only as good as the data behind it. And in banking, that is not a technical detail. It is a matter of trust."
At the Adopt AI Summit in Paris, Su Yang, Head of Artificial Intelligence & IT Innovation at BNP Paribas, joins Aldrick Zappellini, Group Data & AI Director & CDO at Crédit Agricole, moderated by YUNIK CEO Rémi Tibi, to deliver a grounded perspective on what it actually takes to industrialize generative AI in financial services. While the global conversation accelerates around agents, large language models and deployment speed, is the future of AI in banking actually dependent on solving a much more fundamental challenge first?
From 800 use cases in production and federated data architectures to dedicated AI adoption frameworks and retrieval-augmented generation quality controls, discover why scaling AI in finance depends entirely on getting data governance, human trust and organizational design right before anything else.
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