As AI becomes embedded across operations, from credit risk modeling and fraud detection to customer experience and regulatory reporting, data governance structures are under new scrutiny. Should data and AI be governed together under a unified framework, or separately to reflect their distinct risks, expertise requirements, and regulatory oversight?
• Discuss the advantages and limitations of unified versus separate governance models, and what each means for accountability and oversight.
• Explore examples of new committee structures and role definitions piloted by leading BFSI organisations to manage AI responsibly.
• Share experiences and lessons learned, including failures, to help shape adaptable governance frameworks that balance compliance, trust, and innovation.
Check out the incredible speaker line-up to see who will be joining Wiktoria.
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