Why data fragmentation is becoming a business problem, not just a technical one

Gartner expects 60% of AI projects that lack AI-ready data to be abandoned through 2026. "AI-ready" sounds like a technical label. In practice, it describes something much more ordinary: whether a business can actually find, combine, and use the data it already owns.

That is a data fragmentation problem: the state where the information you need to plan a business decision is scattered across different systems, formats, teams and legal entities.

Many boards still treat it as an IT issue. It isn't.

It's what slows your decisions, stalls your partnerships, and kills your AI pilots. My team at Decentriq sees a version of this issue in many of the conversations we have with IT management at media companies.

This piece explains why consolidation is the wrong answer to that problem, and what the organizations pulling ahead are doing instead

Where data fragmentation breaks the business

Engineers describe data fragmentation as...

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