95% Of AI Pilots Stall Due To Data Infrastructure Gaps

The Common Question

Why do most enterprise AI pilots never make it to production?

The Lesson in This Case

Ninety-five percent of generative AI pilots never reach production scale – not because the tools fail, but because the underlying data infrastructure, workflow integration, and measurement systems were never built to support them. The organizations that break out of the pilot cycle share a common pattern: they treat cloud data engineering and AI orchestration as operational prerequisites, not afterthoughts, giving AI systems the unified context and embedded workflows they need to function at the enterprise level. If your AI budget keeps funding experiments that don't compound, stop auditing the models and start auditing the infrastructure beneath them.

Originally reported by TechBullion. Read the full story here.