When 80% of AI projects fail, what sets the successful 20% apart? In this session, we’ll examine the most common reasons AI initiatives fall short from unclear problem definitions and skill gaps to misalignment between business and technical teams, especially as Generative AI and agentic AI initiatives struggle due to skills not keeping pace with rapid technological advancement—and discuss how to overcome them.and discuss how to overcome them.
You’ll gain insights from leadership, management, and practitioner perspectives, along with guidance on building capabilities in applied AI, Generative AI, and agentic AI to drive real business impact. The session will also include an overview of relevant AI programs from Johns Hopkins University, followed by a live Q&A.
Agenda for the session
- Why many AI, GenAI, and Agentic AI initiatives fail to deliver impact
- Key gaps across leadership, management, and practitioner perspectives
- JHU AI programs overview
- Live Q&A
About Speakers
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Dr. Ian McCulloh
Manager of Artificial Intelligence Continuing and Executive Education, Johns Hopkins University
Dr. Ian McCulloh leads the Artificial Intelligence portfolio for Johns Hopkins Engineering Executive and Professional Education. His work integrates AI, neuroscience, and human behavior to build scalable, real-world systems that expand access to essential services and healthcare. He previously served as Accenture’s Chief Data Scientist, leading a 1,200-member Federal AI practice delivering solutions across the U.S. Government. He holds a PhD in Computer Science from Carnegie Mellon University and has authored over 100 peer-reviewed publications.
