09/09/2026
AI ambition is high, but readiness is where many organisations feel the pressure.
In Part 5 of our 7-part series, Matthew Hardman, CTO Asia Pacific at Hitachi Vantara, asks a question every enterprise leadership team should be asking:
Are we really ready for AI?
It is a practical question, because AI workloads do not exist in isolation. They place pressure on infrastructure, data environments, reliability, availability, security controls and regulatory expectations.
The decision is not only whether a business can build or use AI.
It is whether the environment behind it can support the workload, protect the data, meet operational expectations and continue performing as adoption grows.
For CIOs, CTOs and technology partners, AI readiness means looking beyond the model and into the infrastructure layer: modernisation, governance, availability, resilience and workload design.
That is where enterprise AI becomes a business capability, not just a technical experiment.
To learn more, head to rackcorp.ai