The discipline gap: Why some enterprises scale AI and most don’t
Most enterprises don’t have an AI problem. They have a data foundation problem — and it’s quietly deciding who wins the AI race.
Walk into any enterprise boardroom today and you’ll hear the same confident line: “We’re investing heavily in AI.” Walk into the data center — or more accurately, the data estate — and a very different picture often emerges: fragmented pipelines, inconsistent governance, and dozens of AI pilots that never made it past the demo stage.
That gap between AI ambition and AI-ready infrastructure is, according to Mayank Verma, Global Head of Data and AI at Xebia, the single biggest determinant of whether an enterprise’s AI strategy scales into real business value — or stalls out as an expensive science project.
“The real bottleneck is not the model; it is the readiness of enterprise data, governance, and technology foundations,” Verma says. “Many companies have invested in cloud...
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