WorkThe story, in brief
The enterprises currently winning at AI built the data foundation everyone else skipped
Nobody talking about this: enterprises throwing billions at AI while skipping the unglamorous work that actually makes it work.
The KeyNews take
Why it matters
Data infrastructure and governance have become the critical bottleneck for enterprise AI ROI, not model capability. Leaders who prioritize data discipline over model chasing are pulling ahead while the rest face scaling failures.
The key facts
4 to knowData infrastructure gap identified as primary blocker to scalable AI outcomes
Most enterprises committed budget to AI but lack foundational data governance
Problem is data discipline and infrastructure, not model capability
Organizations discovering post-deployment that trusted, governed data is prerequisite for scale
Go to the source
SiliconAnglesiliconangle.com
Publisher excerpt: Most enterprises have committed budget to AI, but few have built the data infrastructure needed to turn that spending into scalable AI outcomes. The problem is less about model capability than it is about data discipline. As organizations race to deploy, many are discovering that without trusted,…