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AI Project Management Playbook
Learn practical methods for managing AI projects, covering data‑centric planning, iterative delivery, ethical oversight, and collaboration tools for project managers.
AI is no longer just a buzzword in project charters — it’s reshaping the way we plan, lead, and deliver outcomes. In this talk, I’ll share a pragmatic perspective on how project managers can evolve to successfully lead AI projects. Drawing on my hands-on experience reviewing the CPMAI v8 (Cognitive Project Management for AI) framework and contributing to PMI’s Infinity platform, I’ll unpack:
Why traditional PM methods fall short in AI projects
How data-centricity, iteration, and ethical oversight change the PM’s role
Key mindset shifts and toolsets needed to collaborate with data scientists, product teams, and AI models
A real-world blueprint to bridge the gap between business expectations and AI capability
This isn’t just about theory. It’s about practical transformation — especially relevant for technically curious leaders and tinkerers who want to bring structure to AI experimentation or scale AI adoption responsibly within organizations.