The Bad PlaceTimes of India | The AI boom is forcing firms to confront their data chaos
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The article explains that while many companies focus on building smarter AI models, the real obstacle to successful AI adoption is poor data quality. Executives across large enterprises report that decades‑old, fragmented, and inconsistent data—spread across legacy ERP systems, custom databases, spreadsheets, emails and other siloed sources—makes AI systems brittle and untrustworthy. As generative and autonomous AI agents become more prevalent, firms must prioritize data governance, ownership, observability and real‑time pipelines to ensure trustworthy, contextual information feeds AI, otherwise costly failures and operational risks will follow.
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The AI boom is forcing firms to confront their data chaos
Most companies believe the biggest challenge in artificial intelligence is building smarter models. Now, many of the executives actually deploying AI across global enterprises are discovering something less glamorous but far more consequential: the real battle lies in cleaning up decades of messy, fragmented and inconsistent corporate data.
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