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

What this episode covers

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 failThe need for a holistic approach and strong leadership for AI successApplying a jobs to be done” approach to generative AIAlso don’t miss HBS professor Karim Lakhani’s Rev 4 Keynote, “Competing in the Age of AI”.

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How long is this episode of Data Science Leaders?

This episode is 29 minutes long.

When was this Data Science Leaders episode published?

This episode was published on August 16, 2023.

What is this episode about?

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...

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