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Truth Is Believing. Accuracy Is Knowing.
Browsing All posts tagged under »strand commonality«
Atlan Is Building the Context Layer. The Question It Cannot Answer Was Answered Manually in 1998.
April 23, 2026
Atlan helps agents work from the same map. ARA™-driven RAM 2025™ ensures the map is accurate — and keeps checking it as the terrain changes.
Raw Data Is Not Truth, It Is Potential Meaning: The Hansen Governance-First Data Fabric™
February 1, 2026
How do you avoid tearing your data fabric? Realizing that raw data is not truth, it is potential meaning.
Independent 2025 Validation of 1998 Strand Commonality Theory: Practical Application for 2026
January 9, 2026
"ProcureTech providers are not solution providers."
Why Proprietary Procurement Operating Systems Failed—and What Replaces Them
December 28, 2025
Ariba, Coupa, and SAP all tried to build procurement operating systems—and failed. The reason isn't that the concept was wrong. They built for lock-in instead of readiness. Here's what replaces them.
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.
World Models and the Strand They Can’t See
December 7, 2025
LeCun and Bezos are investing in "World Models" to capture causal relationships. But what happens when the most important strand isn't in the data?
When Agentic AI Meets Organizational Unreadiness
November 29, 2025
The world just discovered what I wrote in 1998: Autonomous AI without organizational readiness isn't transformation — it's accelerated failure.
Advisory Team Dialogue: When Don Osborn Asked About AI Agents—And Exposed an Industry Irony
November 14, 2025
We don't track that." Four words that predict AI implementation failure.
Procurement Insights 
Marijn’s Data Is Wave Four: Why the AI Adoption Gap Was Always Going to Look Like This
May 8, 2026
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The shadow AI adoption gap isn't a 2026 problem. It's the fourth time the same pattern has played out in thirty-five years.