How to Avoid AI Project Failure
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.
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Kathleen Walch
Director of AI engagement and community at PMI and host of AI Today, Kathleen Walch is committed to advancing AI-driven innovation in project management education. Kathleen joins us from Cognilytica, where she co-developed Cognitive Project Management in AI (CPMAI)™—a methodology now used by Fortune 1000 firms and government agencies worldwide to manage AI and advanced data projects. Kathleen is a dynamic presenter, researcher, and thought leader on emerging technology best practices. She’s a highly-sought-after keynote speaker, as well as a regular Forbes contributor, TechTarget SearchAI columnist, and SXSW Innovation Awards judge.
Ron Schmelzer
Director of AI Partnerships and Outreach at PMI and co-host of AI Today, Ron Schmelzer, is committed to expanding the reach of PMI artificial intelligence offerings through partnerships and organizational engagement. Ron joins us from Cognilytica, where he co-developed Cognitive Project Management in AI (CPMAI)™—a methodology now used by Fortune 1000 firms and government agencies worldwide to manage AI and advanced data projects. Ron is a sought-after expert on AI, data best practices, and AI project management. He serves as chair for several industry groups and is a trusted expert for the OECD’s Global Trust Challenge. Ron is also a regular Forbes contributor, TechTarget SearchAI columnist, and SXSW Innovation Awards judge.
The Seven Patterns of AI
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