DELOITTE AUSTRALIA
Which partnerships solve AI’ s operational challenges As AI moves from experimental to mission-critical, the right infrastructure partnerships matter more than ever.
Rob points to Deloitte’ s work with Dynatrace and Red Hat as examples of how strategic alliances address the practical challenges of deploying AI at scale.
With Dynatrace, Deloitte helps clients move beyond simple alerting to what Rob calls“ true AI ops” – using predictive AI to correlate millions of observability signals in real time and automatically detect problems.
“ We’ ve built an agentic Site Reliability Engineering capability that plugs directly into Dynatrace products,” he says.
“ In many cases, an engineer doesn’ t need to be involved in the resolution process at all.”
Meanwhile, Red Hat’ s OpenShift platform addresses a different challenge: running AI workloads across hybrid and edge environments.
“ Red Hat technologies let us take AI into places that we couldn’ t reach with any other platform,” Rob explains.
The platform unifies machine learning operations with application delivery, bringing common tools and developer experience across the entire AI lifecycle – particularly valuable for running agents on embedded systems in cars, drone and disconnected defence logistics.
For mission-critical applications in public sector, healthcare and finance, Rob says that Red Hat becomes a leading option.
“ When it comes to the highest levels of security and trust, it’ s a simple choice,” he says.
Why countries need their own AI infrastructure For Australia and similar markets, AI raises questions about sovereignty and control that go beyond economics.
Rob sees this as critical national infrastructure, especially for defence, healthcare and financial systems.
“ Our privacy and our intellectual property landscape is quite different to the nations like the US and China where the most active AI development
8 January 2026