As AI workloads drive unprecedented demand for compute capacity, data centres themselves are becoming increasingly complex cyber-physical systems. The next competitive edge will not come from hardware alone, but from intelligent orchestration of infrastructure, spanning energy systems, cooling, capacity allocation, and even physical maintenance.

This panel explores how AI-driven optimisation, digital twin technologies and infrastructure automation are reshaping data centre performance, resilience and sustainability. 

Key questions include: 
•    How do AI tools improve operational resilience and energy efficiency in real-world environments? 
•    What measurable ROI are early adopters seeing from digital twin models in planning and operations? 
•    Can AI-based orchestration and predictive control move facilities closer to zero-waste capacity utilisation?

Bringing together expertise from AI-powered energy optimisation, digital twin modelling, autonomous infrastructure maintenance and applied AI research, the discussion will examine how intelligent systems can actively manage load distribution, anticipate failures, optimise cooling and power consumption, and reduce operational overhead.

The panel will also address the interplay between AI-based software intelligence and physical automation – from predictive energy control to robotic maintenance systems operating in live environments.

Rather than asking how to build bigger data centres, this session reframes the question: How can infrastructure optimise infrastructure? And what does that mean for resilience, cost efficiency and sustainable growth?