An invitation-only discussion for CIOs and Chief Architects to exchange perspectives on how to operationalise AI at scale—covering platform strategy, architecture decisions, and the integration of data, AI, and legacy systems.

As AI strategies scale, misalignment between data, technology and the business is becoming a critical barrier to delivering value. Fragmented architectures, unclear ownership models and competing priorities are slowing down deployment and limiting the ability to translate AI investment into tangible outcomes. This panel will explore how leading institutions are breaking down silos to better align data, technology and business ownership. 

• How to align strategy, governance and quality to ensure AI is built on trusted, scalable and business-ready data 
• How to balance centralisation and flexibility to enable AI to scale seamlessly across use cases and business lines 
• How to drive front-office ownership—particularly in corporate banking—to translate AI into measurable revenue, client and operational impact