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Why a mature data fabric is critical for AI deployment

  • Writer: Beata Socha
    Beata Socha
  • 5 days ago
  • 1 min read

AI can unlock massive value, but only if your data is ready for it. And here’s the truth: most organizations aren’t there yet. In my latest blog on Strategysoftware.com, I break down why legacy systems and siloed data environments are still some of the biggest blockers to scalable AI, and how a mature data fabric can change the game.



Fragmented systems, outdated formats, and manual integrations make it nearly impossible to deliver the real-time, high-quality data AI needs. But companies are starting to connect the dots. A full 94% plan to boost investment in data readiness this year, because they know AI doesn’t work without the right foundation.


In my new whitepaper, Bridging the Data Gap for AI Readiness, I explain how a metadata-rich, semantic-first data fabric helps organizations overcome legacy limitations without ripping and replacing infrastructure. I also show how Strategy’s Semantic Graph brings clarity, control, and explainability to enterprise data, unlocking trust and scalability for real-world AI.



📘 Download the whitepaper to explore the full strategy.✍️ Read my full blog post on Strategysoftware.com for practical insights and takeaways.

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