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High Signal: Data Science | Career | AI

Delphina
Data Science
Machine Learning
Artificial Intelligence
Generative AI
Data Intelligence
Causal Inference
Online Experimentation
Self-Learning Organizations
Automation
Sports Analytics
Software Development
Business Metrics
Baseball
Data Lakehouse
Data-Driven Decision Making
A/B Testing
Computational Skills
Bayesian Statistics
Data-Driven Culture
Uber

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

PublishesTwice monthlyEpisodes36Foundeda year ago
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Artwork for High Signal: Data Science

Latest Episodes

Dawn Woodard (Distinguished Engineer, LinkedIn), Andrés Bucchi (LATAM Airlines), and Jeremy Hermann (CEO & Co-Founder, Delphina) join High Signal for a deep dive into the shifting architecture of data science & analytics in the era of AI. As the indu... more

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Martin Tingley, Head of Windows Experimentation at Microsoft and former Head of the Experimentation Platform Analysis Team at Netflix, talks about why humans are the bottleneck in experimentation, and how a five-level maturity framework points the wa... more

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Bozena Pajak, VP of Learning at Duolingo, joins High Signal to discuss the evolution of AI at Duolingo: from personalized difficulty models to the current generative frontier where AI characters provide low-stakes and high impact conversational pract... more

Benn Stancil, writer and co-founder of Mode, joins High Signal to ask some uncomfortable questions about the current AI moment. Is now actually a terrible time to start a company? If the tools you build on today are obsolete in six months, at what po... more

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Recent Guests

Dawn Woodward
Distinguished engineer at LinkedIn
LinkedIn
Episode: Episode 36: AI and the Judgment Problem in Data Science
Andrés Bucchi
[Noted for LATAM Airlines data leadership]
LATAM Airlines
Episode: Episode 36: AI and the Judgment Problem in Data Science
Jeremy Hermann
CEO and co-founder of Delphina
Delphina
Episode: Episode 36: AI and the Judgment Problem in Data Science
Martin Tingley
Head of Windows Experimentation at Microsoft; former head of the Experimentation Platform Analysis Team at Netflix
Microsoft; formerly Netflix
Episode: Episode 35: Beyond Online Experimentation: Generative Software That Optimizes Itself
Benn Stancil
Expert in AI and data science
Episode: Episode 33: Why Your AI Product Will Be Obsolete in Six Months (And What To Do About It)
Cara Dailey
VP and Head of Data Strategy at Early Warning, expert in data governance and strategy within financial services
Early Warning
Episode: Episode 31: Why Data Governance In Your Org is Broken (And How to Fix It)
Chris Child
VP of Product for Data Engineering at Snowflake
Snowflake
Episode: Episode 30: The AI Paradox: Why Your Data Team’s Workload is About to Explode
Liz Costa
Chief of Innovation and Partnerships at the Behavioral Insights Team
Behavioral Insights Team
Episode: Episode 29: Why AI Adoption Fails: A Behavioral Framework for AI Implementation
Vishnu Ram Venkataraman
Generative AI executive and entrepreneur
Episode: Episode 26: Gen AI's True Cost: Why Today's Wins Are Tomorrow's Debts

Host

Hugo Bowne-Anderson
Host with a focus on data science and machine learning topics, engaging with experts across the industry.

Reviews

4.9 out of 5 stars from 36 ratings
  • Grounded, Smart, and Useful

    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.

    Apple Podcasts
    5
    LowVariance
    United States9 months ago
  • Very high signal on AI

    Love the episode with O’Reilly - especially how software engineering can grow in the AI era.

    Apple Podcasts
    5
    Misterv2
    United Statesa year ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Listeners appreciate the grounded and practical discussions, noting the depth and relevance of conversations without unnecessary jargon.
The engaging style and insightful content are praised, particularly the focus on actionable takeaways and real-world applications of AI and data science.

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Talking Points

Recent interactions between the hosts and their guests.

Episode 36: AI and the Judgment Problem in Data Science
Q: How is AI impacting the speed and reliability of experimentation at scale?
AI accelerates idea generation and analysis, but it also necessitates robust evaluation, provenance, and governance to ensure that rapid experimentation yields trustworthy results.
Episode 34: Duolingo and the Future of Personalized Education with AI
Q: What most excites you about the intersection of technology and education?
I'm most excited about personalization, where we can generate experiences on the fly that match people's needs, tailoring content to individual interests and contexts.
Episode 34: Duolingo and the Future of Personalized Education with AI
Q: How do you think about measuring real long-term effects outside of the app?
It's very hard to measure learning the same way you would measure things like user retention; learning takes a long time, and often requires long-term studies to really understand outcomes.
Episode 30: The AI Paradox: Why Your Data Team’s Workload is About to Explode
Q: How should organizations start preparing to be AI ready?
Organizations should invest in their data foundations and promote a culture of experimentation with AI technologies.
Episode 30: The AI Paradox: Why Your Data Team’s Workload is About to Explode
Q: What implications does the increase in AI have on data engineering?
Data engineers are now required to focus on business outcomes while managing increased workloads from AI complexities.

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Frequently Asked Questions About High Signal: Data Science

What is High Signal: Data Science about and what kind of topics does it cover?

Featuring insights from industry leaders, discussions revolve around data science, AI, and machine learning, emphasizing practical strategies for professionals in these fields. Notable episodes cover evolving technologies and their implications for the future, including topics like generative AI, data-driven leadership, and the integration of behavioral science with technology. The content is tailored for individuals seeking to deepen their understanding and enhance their careers, making it a valuable resource for both experienced professionals and newcomers to the data science and AI domains.

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Which podcasts are similar to High Signal: Data Science?

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1. Vanishing Gradients
2. Machine Learning Street Talk (MLST)
3. Latent Space: The AI Engineer Podcast
4. Super Data Science: ML & AI Podcast with Jon Krohn
5. Dwarkesh Podcast

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High Signal: Data Science launched a year ago and published 36 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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What guests have appeared on High Signal: Data Science?

Recent guests on High Signal: Data Science include:

1. Dawn Woodward
2. Andrés Bucchi
3. Jeremy Hermann
4. Martin Tingley
5. Benn Stancil
6. Cara Dailey
7. Chris Child
8. Liz Costa

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