·        Building the foundational data architecture and compute environment required to support enterprise-wide AI adoption.

·        Scaling AI capabilities across business units by modernising infrastructure, streamlining data pipelines, and ensuring interoperability.

·         Aligning IT, data science, and business teams to drive collaboration, experimentation, and agile deployment of AI use cases.

·        Managing the balance between performance, cost, and governance while enabling responsible and repeatable AI at scale.

·        What does ‘futureproofing’ mean in today’s compute landscape — and how are leading organisations translating that into strategy and action?

·        How are enterprises preparing their infrastructure to support unpredictable demands from AI, data growth, and evolving business models?

·        What lessons have been learned in navigating legacy systems, cloud migration, and emerging tech while maintaining operational continuity?

·        In a world of constant change, how can compute strategies stay agile, cost-effective, and resilient over the long term?