episode 53
The AI Innovator’s Dilemma: Insights from Harvard’s D^3 Institute
Data Science Leaders | 29:00 | August 17, 2023
Listen how you want
Get new episodes in your inbox
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”.
Popular episodes
Featured Guest
Mike Gualtieri, VP and Principal Analyst at Forrester
James Cham
Partner, Bloomberg Beta
EPISODE 71April 11, 2024
Unlocking the disruptive potential of generative AI: a VC perspective
Listen Now | 28:49Volodimir Olexiouk
Director of Scientific Engagement and Data Science Team Lead, BioLizard
EPISODE 70March 28, 2024