Browsing All posts tagged under »machine-learning«

The Gartner Roadmap Is a Rubik’s Cube. 90% of the People Who Buy It Never Solve It.

March 30, 2026

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The Ultimate Goal of any graph, post, or podcast is to make understanding and success accessible.

Stop Buying New Tech to Patch a Broken Foundation — But First, How Do You Know It’s Broken?

March 26, 2026

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It doesn't matter how great the conductor is if the musicians don't know how to play their instruments.

Raw Data Is Not Truth, It Is Potential Meaning: The Hansen Governance-First Data Fabric™

February 1, 2026

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How do you avoid tearing your data fabric? Realizing that raw data is not truth, it is potential meaning.

Three Thoughts About AI That Will Change Your Thinking for the Better

January 11, 2026

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When it comes to AI, the industry is still playing chess when it should be building teams.

Why “Augmented Intelligence” Became the Invisible Third Rail of Enterprise AI

December 27, 2025

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Human-in-the-loop models work regardless of technology era. Tech-led models fail regardless of technology era. That's not theory—that's 27 years of production data.

I Didn’t Build a Camera and Look for Ways to Use It

December 22, 2025

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Amazon Lens Live lets you shop what you see. In 1999, I used a ball camera to solve the same problem — but in enterprise procurement. The technology wasn't the solution. The SR&ED-funded theory behind it was. Agent-based thinking: 27 years waiting for non-human agents to catch up.

When Analysts Go Wild: The Conversation the Industry Needs to Have

December 13, 2025

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Finally, real analysts getting real about AI.

Where Data Platforms Fit — And Where Behavioral Diagnosis Must Lead

December 8, 2025

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With most AI projects derailed by data-readiness issues..." — Hammerspace is right. But data readiness isn't organizational readiness. Where do platforms like Hammerspace and Tealbook fit in the architecture — and what layer is still missing?

Why Spreadsheets Keep Beating AI: The Case for Humans at the Wheel

December 8, 2025

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Spreadsheets have been declared dead for decades. So why do they still outperform the systems designed to replace them?

From Metaprise to Agentic Ecosystems: The 27-Year Journey to Architectural Truth

December 5, 2025

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In 1998, I called it the Metaprise. In 2025, Genesys calls it 'agentic ecosystems.' The language changed. The physics didn't.