What is CPMAI Methodology? A Quick Overview || AI Project Management Curious about how to manage AI and machine learning projects effectively? In this video, we provide a quick but comprehensive overview of the CPMAI Methodology – Cognitive Project Management for Artificial Intelligence – a structured, agile, and business-driven approach for AI and advanced analytics initiatives. We walk you through all six key phases of the CPMAI framework: 1️⃣ Business Understanding 2️⃣ Data Understanding 3️⃣ Data Preparation 4️⃣ Data Modeling 5️⃣ Model Evaluation 6️⃣ Model Operationalization You’ll learn how each phase contributes to successful AI delivery and why CPMAI is designed to be iterative, flexible, and focused on business outcomes. Whether you're a project manager, data leader, or business stakeholder, this framework helps bridge the gap between AI teams and business value. 🔄 Not linear! The CPMAI lifecycle encourages going back and forth between phases based on data feedback, model results, or evolving goals. 🧠 Why Watch This Video? Understand how to run AI/ML projects like real business programs Avoid common AI project pitfalls by applying a structured methodology Learn how CPMAI integrates with Agile and enterprise workflows 🔗 Useful Links & Resources: 📄 CPMAI Official Site: (cpmai)-plus--v7---course/el179 📝 CPMAI Certification: 👍 Like this content? 🔔 Subscribe to our channel for more videos on AI project delivery, Agile transformation, and enterprise program management! #CPMAI #AIProjectManagement #DataScience #MachineLearning #AgileAI #ProgramStrategyHQ #ProjectManagement #BusinessAI #AIFramework #ArtificialIntelligence My Linkedin: --------------------------------------------- Visit our website: --------------------------------------------- Books I read and Refer for Project Management & Agile: --------------------------------------------- Headfirst Agile: Agile Estimating and Planning: SAFe 5.0 Distilled: Inspired - Product Management: