PMI-CPMAI The Need for AI Project Management Module 1

Описание: Why do AI projects fail even when the technology works?

In PMI CPMAI Module 1, Part 2, Syeda explores why AI projects need a different management approach, how data problems derail delivery, and why trust matters for adoption.

You’ll learn about:
• Three common reasons AI projects fail
• Managing AI as a data project
• Bias, transparency, privacy and accountability
• The five layers of trustworthy AI
• How agile, CRISP-DM and CPMAI fit together

⏱️ Chapters
00:00 Introduction
00:02 Where AI projects stall
00:14 Three reasons AI projects fail
00:42 AI as a data project
00:56 Data problems and AI-specific traps
01:23 Why trust matters
01:29 AI concerns and practical fixes
02:03 Five layers of trustworthy AI
02:47 Tailoring the framework
03:06 Agile and data-centric delivery
03:38 Where CPMAI comes from
04:11 Recap
04:47 Next: Business Understanding

💬 Which challenge do you see most in your workplace: data quality, project management or trust?

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Disclaimer: This is an independent personal study summary, not an official PMI course or product. It is not affiliated with or endorsed by PMI. Statistics discussed are industry estimates and vary by source and definition.

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