Why do so many AI projects fail to reach production? Chris Carreiro, CTO of Park Place Technologies, discusses data readiness, governance, infrastructure bottlenecks, and why power and cooling is now a strategic concern for CIOs.
Many organisations have ambitious AI strategies, but far fewer have successfully moved projects into production. In this episode of Ctrl Alt Lead, Penny Horwood speaks to Chris Carreiro, CTO at Park Place Technologies, about the obstacles holding enterprises back and what IT leaders can do about them.
Chris explains why data readiness remains the biggest barrier to AI success, how unclear ownership and governance stall progress, and why organisations should focus on smaller, more targeted use cases rather than broad board-level mandates.
The discussion also explores a sometimes overlooked aspect of AI infrastructure: power and cooling. As AI workloads drive unprecedented server densities, cooling has become a strategic concern for CIOs, with implications for sustainability, edge computing, data sovereignty and future infrastructure planning.
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