
Welcome to High Signal, the podcast for data science, AI, and machine learning professionals. High Signal brings you the best from the best in data science, machine learning, and AI. Hosted by Hugo Bowne-Anderson and produced by Delphina, each episode features deep conversations with leading experts, such as Michael Jordan (UC Berkeley), Andrew Gelman (Columbia) and Chiara Farranato (HBS). Join us... more
| Publishes | Twice monthly | Episodes | 40 | Founded | 2 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | BusinessTechnology | |||

Steve Tadelis, Professor of Economics at UC Berkeley and former senior economist at eBay and Amazon, joins High Signal to bridge the gap between economic theory and the high-stakes reality of data science and AI. Drawing on his experience at the fore... more
Chris Fonnesbeck, veteran analyst for the Yankees and Mets and creator of the open-source Bayesian modeling library PyMC, joins to unpack why baseball has been a leading indicator for data science and analytics for over a century, and why builders an... more
Noah Bruegmann, President of Data CRT, joins High Signal to discuss how to move your data function from a cost center to a strategic "value center". He explains how AI amplifies your existing data culture, the importance of "no-assistance" reporting,... more
Jordan Morrow, SVP of Data & AI Transformation at AgileOne and the "Godfather of Data Literacy," joins High Signal to discuss the shift from being "data-driven" to becoming "AI-enabled." Jordan warns that many organizations are walking into the same ... more
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I stumbled on High Signal a few months ago and it’s quickly become one of my go-to listens. The conversations feel honest and grounded, without the usual buzzwords or surface-level takes. One episode that really stood out was the deep dive into high stakes AI systems — thoughtful, practical, and relevant to the challenges many of us are facing right now. I always walk away with something useful or a new perspective.
Love the episode with O’Reilly - especially how software engineering can grow in the AI era.
Key themes from listener reviews, highlighting what works and what could be improved about the show.
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #53 | |
Apple Podcasts | #213 |
Recent interactions between the hosts and their guests.
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High Signal explores data science, AI, and machine learning through conversations with leading practitioners and researchers. Episodes consistently center on shaping data culture, governance, and responsible AI adoption, with practical frameworks for turning data work into measurable business value. Listeners get candid takes on data literacy, experimentation at scale, governance, and the tension between tool fever and disciplined practice, plus real-world case studies from tech giants, airlines, media, and financial services. A standout trait is its emphasis on storytelling, context, and actionable insights—helpful for teams building data platforms, guiding AI strategy, or evaluating new data tools and partnerships.
What makes this show n... more
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4. Freakonomics Radio
5. Software Engineering Radio - the podcast for professional software developers
High Signal: Data Science launched 2 years ago and published 40 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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Recent guests on High Signal: Data Science include:
1. Chris Fonnesbeck
2. Jordan Morrow
3. Dawn Woodward
4. Jeremy Hermann
5. Martin Tingley
6. Benn Stancil
7. Cara Dailey
8. Chris Child
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