Your Data Is Broken. That’s Why AI Isn’t Working
Towards AI
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Data Science
How data silos, legacy monoliths, and technical debt quietly kill every AI initiative - and the architectural approach to fix it Every organisation wants to build AI. Most of them hit the same wall six weeks in - not because the technology does not work, but because the data underneath it is a mess. Three systems. Three different definitions of a “customer.” Five years of transactional data locked inside an application nobody dares to touch. A data warehouse built for last year’s reporting, not tomorrow’s AI. This is the problem nobody puts on the project plan.