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Delivering Understanding Beyond Insights
Browsing All posts tagged under »machine-learning«
Three Thoughts About AI That Will Change Your Thinking for the Better
January 11, 2026
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
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
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
Finally, real analysts getting real about AI.
Where Data Platforms Fit — And Where Behavioral Diagnosis Must Lead
December 8, 2025
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
Spreadsheets have been declared dead for decades. So why do they still outperform the systems designed to replace them?
AGI Won’t Fix Your Dirty Data. Neither Did AI, GenAI, or Agentic AI. Here’s Why.
December 3, 2025
A technology-first approach has never addressed the clean data problem — and it never will.
It Isn’t The Instrument — It’s The Musician
November 29, 2025
This beat-up ThinkPad with worn keys is running the same AI architecture I built for Canada's Department of National Defence in 1998. If you want to know why I'm so confident in the HFS — today's post will tell you.
Procurement Insights 
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.