As AI scales, many organisations are moving away from centralised models towards more federated approaches that empower business domains. However, this shift introduces new challenges around consistency, governance and accountability, particularly in highly regulated environments. This session will explore how organisations are structuring federated AI models to balance innovation with control. 

• How to distribute AI development across domains without creating fragmentation or duplication
• Learn which governance frameworks and shared data controls are needed to maintain consistency and manage risk 
• How to ensure clear accountability while enabling teams to move quickly and deliver impact