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AI Security Promises vs. Project Realities 🧠 Series: Is AWS Bedrock (and Others) Safe Enough for Your AI Project? – Part 2 of 3 In Part 1, I talked about how Big Tech’s AI platforms are scaling fast—and how vendor lock-in creates hidden risks for project teams. Now let’s look at the other side… Continue reading Short Insights
July 20, 2025, the White House released “Winning the Race: America’s AI Action Plan,” signaling a major shift in U.S. artificial intelligence policy. This strategy pivots from cautious regulation to aggressive innovation, with profound implications for AI project management and entrepreneurship. A Three-Pillar Foundation for AI Leadership The plan centers on three pillars: innovation acceleration,… Continue reading The White House’s New AI Strategy: A Game-Changer for Project Managers and Small Businesses
🧠 I recently heard Markeeva Morgan, PhD, PMP speak on a panel at BEYA 2025, and he shared a simple but powerful concept: If I draw a number on the floor, I might see a 6, while you see a 9. Same number, different perspectives. The 6 vs. 9 Problem: Why AI Projects Fail More… Continue reading The 6 vs. 9 Problem: Why AI Projects Fail More Than Traditional Software Development
❓ In Part 1, I raised a concern: Are companies using AI to cut too deeply into their human workforce? In Part 2, I offered a better approach: Use AI to augment, not erase. Now let’s make it real. AI Use Case or Ethical Red Flag? Ask These 3 Questions. Every leader I know is… Continue reading AI Use Case or Ethical Red Flag? Ask These 3 Questions.
🔁 In Part 2, I shared why AI must be managed like mission-critical infrastructure — with governance, cross-functional ownership, and frameworks like #CPMAI to guide implementation. But here’s the missing piece: Most federal AI RFPs still don’t require the one role that makes all of that possible. ⚠️ The AI Project Manager is Still Missing… Continue reading It’s Time to Add AI Project Managers to Every Federal AI RFP
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