As organisations scale AI, tensions often emerge between established data governance teams and newly formed AI governance functions. Overlapping mandates can create gaps or unclear accountability. This session takes a practical look at how leading enterprises are defining boundaries, integrating responsibilities, and building operating models that make data and AI governance work together in practice.
• Clarifying mandates between data and AI governance.
• Aligning ownership across the model lifecycle.
• Designing operating models that avoid duplication.
Check out the incredible speaker line-up to see who will be joining Tom.
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