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Why the Best Supply Chain AI Use Cases Start Small
What we’re hearing from enterprise data and analytics leaders has shifted in a useful way. The conversation has moved past broad excitement about AI and into a more practical question about where it helps inside a workflow that already carries business weight. Last week I wrote about that shift in
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Data Strategy and AI Readiness: Three Critical Questions for Delivery Capability
Last year, I wrote that if a CEO says the company needs an AI strategy, what they are really saying is that the company needs a better data strategy. That argument matters even more now. The hype has not gone away; it has simply moved closer to the core of
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Data Strategy or Bust: Thriving in the Age of AI
AI is raising the stakes for every enterprise. A strong data strategy turns AI from a planning exercise into an execution discipline – aligning data, analytics, and AI investments to business priorities and creating compounding value through growth, innovation, and efficiency. In this session, we’ll examine the strategic choices leaders
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Data Strategy and AI Readiness: Three Critical Questions for Business Decision Impact
In the first blog in this series, I focused on the supply side of data strategy and AI readiness, specifically the quality, integration, metadata, and architectural design required to move beyond isolated pilots and support AI at scale. But delivery capability is only half the equation. Even when the data