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We explore how their latest research in Data Science & AI could scale into broader industry applications, so you can expand your knowledge and grow your career effectively in the real world.

Latest episodes

Michael Haft

Understanding Cause and Effect: Is Causal Discovery The Missing Layer in Artificial Intelligence?

<p> </p> <p>The post <a rel="nofollow" href="https://datascienceconversations.com/podcasts/understanding_cause_and_effect/">Understanding Cause and Effect: Is Causal Discovery The Missing Layer in Art...

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Akhil Patel

Predicting the Next Financial Crisis: The 18-Year Cycle Peak and the Bursting of the AI Investment Bubble

<p> In this episode, we had the privilege of speaking with Akhil Patel, a globally recognized expert in economic cycles, discusses the 18-year boom-bust pattern and warns that we’re approaching ...

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Peter Bärnreuther

“Insuring Non-Determinism”: How Munich RE is Managing AI’s Probabilistic Risks

<p> In this episode, we had the privilege of speaking with Peter Bärnreuther from Munich RE. Peter Bärnreuther from Munich RE discusses the emerging field of AI insurance, explaining how companies c...

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