Balancing Urgency and Quality in AI Development

More and more project professionals are managing artificial intelligence (AI) projects, but teams are struggling to make sure they deliver real value. What makes AI projects different—and what are some common reasons they fail? What does it take to lead successful AI projects—and how do you build those must-have skills? We discuss the big issues with two experts at PMI Cognilytica: Kathleen Walch, CPMAI, director, and Ron Schmelzer, CPMAI, director and general manager. Both are based in Columbia, Maryland, USA. 

Key themes

[02:37] Common reasons why AI projects fail

[07:42] How to make sure your AI project delivers real ROI 

[09:22] What makes AI projects different than others—and what it takes to manage them

[17:05] Ways to keep your AI knowledge up to date 

[19:30] How to set smart metrics for AI projects and the rise of agentic AI