If you’ve ever tried to answer a “simple” question like “Which initiatives are at risk because Feature X is late?” and watched five teams produce five different dashboards… you’ve already met the real problem: You don’t just have a data problem. You have a meaning problem. That’s what ontology solves. Ontology (in the practical, business […]
Tag: AI
AI Won’t Replace PMP Holders—But It Will Replace Those Who Don’t Adapt (Here’s How to Win) The uncomfortable question: If AI can plan, summarize, and automate… do we still need PMP holders?
Yes—and the reason isn’t nostalgia for “traditional project management.” AI is becoming a force multiplier for execution, not a replacement for accountability. Most organizations are still wrestling with the hard part: turning promising pilots into reliable, governed, scalable business outcomes. McKinsey’s 2025 global survey reports widespread AI use, but far fewer organizations have truly scaled […]
AI Projects Fail for Predictable Reasons—PMP Holders Prevent Them (And Get Promoted for It)
Quick Answer AI projects most often fail after proof-of-concept because value is unclear, data is weak, risk controls are late, costs rise, and adoption is neglected—exactly the factors Gartner highlights in its prediction that at least 30% of GenAI projects will be abandoned after PoC by end of 2025. PMP holders prevent these failures by […]
How PMP Holders Stay Indispensable in an AI-Driven Global Economy
Quick Answer To stay indispensable in an AI world, shift your identity from “project tracker” to outcome leader: define measurable value, govern AI risk, align stakeholders, and drive adoption. PMI has also announced a new PMP exam coming in July 2026, with updated learning resources expected April 2026—making now a practical window for many candidates […]
Not Sure Where to Use AI in Your Project? Here’s Where Modern Project Managers Are Actually Getting Results
Artificial intelligence isn’t a futuristic add-on to project management—it’s already reshaping how project teams plan, communicate, analyze, and deliver. Yet many project managers admit a quiet frustration: “I know AI can help… I just don’t know where it fits into my projects.” That confusion is normal. AI is advancing quickly, and without the right guidance, […]