Welcome to The Lean AI Podcast, where we want to flip the AI conversation on its head by offering invaluable insights into the practical application of AI, the challenges companies face, and the strategies used to achieve success. In each episode we speak with guests who challenge established views and offer disruptive perspectives, providing new, actionable ideas for companies looking to effectively implement AI by applying Lean Startup methodologies.
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Welcome to The Lean AI Podcast, where we want to flip the AI conversation on its head by offering invaluable insights into the practical application of AI, the challenges companies face, and the strategies used to achieve success. In each episode we speak with guests who challenge established views and offer disruptive perspectives, providing new, actionable ideas for companies looking to effectively implement AI by applying Lean Startup methodologies.
Avoid "Burning Star Syndrome" using Smart AI Investment Strategies with Kunal Sawarkar
The Lean AI Podcast presented by Eric Ries
39 minutes
6 months ago
Avoid "Burning Star Syndrome" using Smart AI Investment Strategies with Kunal Sawarkar
In this episode of The Lean AI Podcast, host Ben Hafele is joined by Kunal Sawarkar, Chief Data Scientist and Distinguished Engineer at IBM. Together, they discuss practical strategies for embedding AI into products successfully, including Kunal's "burning star syndrome" approach to AI investment, the importance of customer-focused problem solving, and building the right talent composition for AI teams.
The Lean AI Podcast presented by Eric Ries
Welcome to The Lean AI Podcast, where we want to flip the AI conversation on its head by offering invaluable insights into the practical application of AI, the challenges companies face, and the strategies used to achieve success. In each episode we speak with guests who challenge established views and offer disruptive perspectives, providing new, actionable ideas for companies looking to effectively implement AI by applying Lean Startup methodologies.