The AI Innovator’s Dilemma: Insights from Harvard’s D^3 Institute

Data Science Leaders

It’s been said: “When everything is important, nothing is important.” So how do you succeed with AI-driven transformation where everything – across people, process, and technology – is important? It requires leadership, a deliberate strategy, and ongoing organizational change.
Here to share insight on these transformational challenges and best-practices are Jen Stave and Catherine Feldman from the Digital, Data, and Design (D^3) Institute at Harvard. In this wide-ranging conversation, the duo draws upon seminal research from the Harvard Business School – such as professor Clay Christensen’s theory of Disruption – to explain how organizations must adapt their business and operating models, and make experimentation part of their organizational DNA.
Join us as we discuss:

• Disruption and the reasons so many AI projects fail
• The need for a holistic approach and strong leadership for AI success
• Applying a jobs to be done” approach to generative AI

Also don’t miss HBS professor Karim Lakhani’s Rev 4 Keynote, “Competing in the Age of AI”.