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What Makes an AI Strategy Actually Work?

  • Writer: Beata Socha
    Beata Socha
  • May 14
  • 1 min read

Updated: 12 minutes ago

To drive real business outcomes, your AI strategy needs more than just ambition—it needs alignment, communication, and activation. A successful strategy hinges on seven critical components, including Governance, Operating Model, Technology, and Activation.



Each element plays a unique role: from setting ethical and commercial benchmarks, to defining how teams collaborate, to ensuring your tech stack isn’t just modern, but sustainable. Most importantly, the strategy must be living—constantly evolving to meet shifting priorities and risks.


In my latest blog post, I break down each of these components and explain how Strategy’s Semantic Graph brings them to life—offering a unified, secure, and privacy-aware data foundation designed for scalable AI adoption.


📌 Read my latest article on data fabrics and the 7 components of an effective AI strategy

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