Tom Heath

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.