CPMAI Explained: How I Passed and How to Actually Use It
Автор: The Disruptive Technologies Podcast
Загружено: 2025-11-19
Просмотров: 435
Most AI failures aren’t about GPUs or algorithms. They’re governance failures.
In this episode, I break down Cognitive Project Management for Artificial Intelligence (CPMAI), how I approached the exam and, more importantly, how to actually use the framework in real AI projects.
We start in 1979 with KnowledgeCraft, one of the earliest expert systems, and trace the discipline of explicit assumptions into today’s AI programs. Then we walk through all six CPMAI phases, the underlying control loop, and the exam traps that tell you whether you really understand the lifecycle.
If you’re an engineer, data scientist, analyst, or manager trying to make AI accountable and auditable — not just flashy — this is for you.
In this episode you’ll learn:
Why most organizations deploy AI with no real governance
How CPMAI’s six phases map to business reality, not just theory
The “rewind logic” that makes CPMAI a control loop, not a checklist
The five recurring exam traps and how to reason through them
How CPMAI maps onto the Sovereign Stack, from Value to Governance
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