Chair's opening remarks — data-led benchmark of AI deployment and infrastructure maturity across ANZ enterprises in 2026.
Most ANZ enterprises built their technology foundations for stability, not speed and now they're trying to run real-time AI workloads on infrastructure designed for batch processing and on-premise data centres. This panel gets honest about the gap between where ANZ infrastructure actually is and where it needs to be, without a five-year transformation programme.
Every organisation is navigating the same question — what do you build yourself, what do you buy from a vendor, and what do you consume from a hyperscaler? This panel brings together CIOs and CTOs who have made different bets, made mistakes, and changed their minds. No vendor agenda — just the unfiltered decision-making behind the infrastructure choices that define the next decade.
Practitioners share where AI is genuinely changing risk and fraud outcomes versus where it's added a layer of complexity without the returns. Real implementation gaps, false positive problems, and governance realities that don't make it into vendor case studies.
How do you move AI from pilot to production when the regulatory environment is still being written? Peer exchange on navigating Australia's tightening AI frameworks, what's getting blocked internally, and how organisations are making deployment decisions under genuine uncertainty.
The decision between real-time and batch processing is shaping infrastructure investment for the next decade. Groups examine the workload patterns, cost implications and organisational readiness factors that should drive the choice — and where organisations are getting it wrong.
AI deployment exposes every integration debt accumulated over years of point-to-point architecture. How are ANZ enterprise architecture leaders rationalising their integration layers, what governance models are working, and what happens to AI velocity when the integration foundation is not fit for purpose.
When AI workloads hit production, cloud bills follow and most ANZ finance teams were not prepared for the variability. A CIO on how they implemented FinOps discipline, brought compute spend under control and built a cost model that the CFO could actually trust, without slowing down engineering.
Most ANZ enterprises are deploying AI faster than they can secure the infrastructure underneath it, treating security as a retrofit rather than a design principle. This session takes a CISO's view of where that catches up with you: shadow AI tools running outside approved stacks, third-party model and vendor risk, and the expanded attack surface created by real-time data pipelines and API sprawl. A practitioner account of what a security-first AI infrastructure build actually requires, and what skipping it costs later.
A CTO on the modernisation decision that changed everything — what triggered it, what it cost, what nearly killed the project, and what the infrastructure looks like now. Not a vendor success story — a real account of the hardest technology decision a leadership team can make.