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The latest on data & AI.

Ideas, guides, and stories on building AI-engineered operations, data infrastructure, and enterprise platforms.

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96% of Enterprises Are Using AI Agents. Only 12% Have Any Idea How to Govern Them.

OutSystems surveyed nearly 1,900 IT leaders: agent sprawl is rising, centralized governance is rare, and the risk profile is worse than SaaS sprawl.

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The Real Reason Your AI Pilot Succeeded and Your Enterprise Rollout Didn't

42% of companies abandoned most of their AI projects in 2025. The gap between a brilliant pilot and a failed rollout is almost never what organizations expect.

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What 'Build vs. Buy' Actually Means in Enterprise AI - And Why Most Organizations Are Asking the Wrong Question

Intact’s CIO put it plainly: “We don’t have to rely on a vendor.” The right question isn’t build vs. buy - it’s which problems are specific enough that only building solves them.

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The Procurement Problem Nobody Is Talking About: Why Healthcare Buying Groups Are Leaving Hundreds of Millions on the Table

Nearly half of health systems adopted AI in procurement - only 18% fully implemented it. The savings gap is a catalog matching problem AI can finally solve at scale.

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Your Legacy Vendor Contract Is Not a Sunk Cost. It Is a Strategic Position - and You Can Change It.

Structural vendor dependency renews on the vendor’s terms because the architecture was built around it. The path out is an architecture problem - not a renegotiation.

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Shadow AI Is Already Inside Your Organization. The Question Is What You're Going to Do About It.

Only 30% of enterprises can detect shadow AI. Employees are not circumventing governance out of malice - they are filling gaps your approved tools cannot close.

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You Don't Have an AI Problem. You Have an Integration Problem.

Deloitte found companies allocate 93% of AI budgets to technology and only 7% to the people and processes expected to use it. The model works - what fails is how it connects to your operation.

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How to Be in the 5% of Companies Actually Getting ROI from AI

MIT researchers studied 300 public AI initiatives and found that 95% of enterprises achieved zero return on their AI investment. Here is what the other 5% do differently.

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