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Tune in for the High Signal Podcast with SC2 Co-Director, Stefan Wager

A guest speaker in the High Signal podcast, associate professor, and Causal Science Center co-director Stefan Wager explains why classical machine learning often falls short in driving real business impact. Using Airbnb as an example, he highlights the limitations of predicting outcomes based on the status quo and emphasizes the power of causal ML in answering critical "what-if" questions.

For actionable takeaways on how to start applying causal ML at work, you can listen to the full episodes on these platforms: