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High Signal: Data Science | Career | AI

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

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 monthlyEpisodes35Foundeda year ago
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Artwork for High Signal: Data Science

Latest Episodes

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

YouTube

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

YouTube

Nicholas Moy, former Head of Research at Windsurf & now at Google DeepMind, joins High Signal to discuss the shift from "co-driving" to a truly "agentic" era of development. We discuss Windsurf's journey from early prototypes that struggled with com... more

YouTube

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Recent Guests

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
Sergey Fogelson
VP of Data Science at Televisa Univision
Televisa Univision
Episode: Episode 25: How Data-Driven Growth Redefined a Media Giant
Andrés Bucchi
Chief Data Officer at LATAM Airlines, with a background in data science and technology entrepreneurship.
LATAM Airlines
Episode: Episode 24: Rebuilding an Airline for the 21st Century: LATAM's Data-Driven Transformation
Anu Bharadwaj
President of Atlassian
Atlassian
Episode: Episode 23: Why Most AI Agents Fail (and What It Takes to Reach Production)

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 States8 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.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#152
France/Technology
Apple Podcasts
#193
Singapore/Technology

Talking Points

Recent interactions between the hosts and their guests.

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.
Episode 29: Why AI Adoption Fails: A Behavioral Framework for AI Implementation
Q: How can leaders frame AI deployment to encourage adoption?
AI can be presented as a tool to manage risk and reduce losses, rather than just focusing on efficiency gains.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

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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. Dwarkesh Podcast
2. Prof G Markets
3. The Memo by Howard Marks
4. All-In with Chamath, Jason, Sacks & Friedberg
5. Hard Fork

How many episodes of High Signal: Data Science are there?

High Signal: Data Science launched a year ago and published 35 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. Martin Tingley
2. Benn Stancil
3. Cara Dailey
4. Chris Child
5. Liz Costa
6. Vishnu Ram Venkataraman
7. Sergey Fogelson
8. Andrés Bucchi

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