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Delivering Understanding Beyond Insights
Browsing All posts tagged under »machine-learning«
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.
Six AI Models Converge: The Agentic AI Governance Crisis Validates 27 Years of Readiness-First Research
November 10, 2025
When six independent AI models analyze the same governance crisis and five reach identical conclusions, what does that tell us?
In 2008, I Predicted Agentic AI and the Need for an Operating System to Break ProcureTech’s Failure Cycle. Here’s Why 90% Will Still Fail by 2026
November 8, 2025
In 2008, I asked if your enterprise had a 'Digital Nervous System.' The answer was no. In 2025, with AI agents, it's still no. That's why 90% will fail by 2026.
Why Platform Architecture Fails Without Asking the Right Question #1
October 28, 2025
Why Does Asking 'What's Your Process?' Lead to 70-95% Implementation Failure?
The AI Evolution Trap: Why Capability Stacks Force Organizations Into Predictable Frames
October 27, 2025
What is the AI Evolution Trap?
Procurement Insights 
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.