According to recent ESG research, a whopping 84% of organizations are rethinking how they deploy applications as AI enters the picture. It's becoming clear that for AI to deliver real value, it needs quality data behind it. This is pushing IT leaders to take a fresh look at how they approach infrastructure.

Join me as I sit down with Scott Sinclair, Practice Director at Enterprise Strategy Group, to dive into ESG's latest findings on how organizations are reshaping their infrastructure for AI. We unpack some fascinating trends, including:

Why companies are starting to question if "cloud-first" makes sense for AI
The real costs of moving data around for AI (spoiler: it's more complex than you think)
An unexpected plot twist: highly regulated industries are actually leading the AI charge
Smart ways to start small but build for growth
Why your data strategy could make or break your AI success
Getting the right mix of cloud and on-prem for AI workloads
Real-world tips for building AI infrastructure that won't break the bank

Scott brings hard data and real-world examples to cut through the hype around AI infrastructure. Whether you're just dipping your toes into AI or scaling up existing projects, you'll walk away with practical insights you can actually use.

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