CPMAI Phase II & III Simplified | AI Data Preparation Explained

Welcome to this session on AI Data Preparation & Management in CPMAI Projects, brought to you by Leverage: AI & Communication.

In this video, we simplify how Cognitive Project Management for AI (CPMAI) ensures ethical, structured, and high-quality data management across AI projects. You’ll learn how Phases II and III — Data Understanding and Data Preparation — form the backbone of trustworthy AI delivery.

💡 What You’ll Learn:

Why structured data preparation is critical for AI success

How CPMAI Phases II & III define data workflows

Techniques to reduce bias and improve data quality

Governance and documentation practices for responsible AI

Real-world example of bias correction in an AI project

Three CPMAI-style quiz questions to test your understanding

🎯 Who Should Watch:
Project Managers, Data Scientists, AI Practitioners, and anyone applying structured project management to AI initiatives.

⚠️ Disclaimer

This video has been independently developed by Leverage: AI & Communication and is not affiliated with, endorsed by, or sponsored by the Project Management Institute (PMI).
It is provided solely for educational purposes to help learners understand the Cognitive Project Management for AI (CPMAI) framework.

This session does not qualify for PDUs (Professional Development Units) and does not count toward any PMI certification or renewal requirement.
All references to CPMAI or PMI are for educational context only.