High Signal: Data Science | Career | AI
Welcome to High Signal, where you’ll hear the best from the best in data science, machine learning, and AI. The goal of this podcast is to bring high signal, to help you advance your careers in data science, ML, and AI.
We found 8 episodes of High Signal: Data Science | Career | AI with the tag “machine learning”.
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Episode 13: The End of Programming As We Know It
March 27th, 2025 | 1 hr 23 mins
ai, data science, genai, llms, machine learning
Tim O’Reilly—founder of O’Reilly Media and one of the most influential voices in tech—argues we’re not witnessing the end of programming, but the beginning of something far bigger. He draws on past computing revolutions to explore how AI is reshaping what it means to build software, why real breakthroughs come from the edge—not incumbents—and what it takes to learn, teach, and build responsibly in the age of AI.
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Episode 12: Your Machine Learning Solves The Wrong Problem
March 13th, 2025 | 54 mins 40 secs
causal inference, causal ml, data science, machine learning
Stefan Wager—Professor at Stanford and expert on causal machine learning—has worked with leading tech companies including Dropbox, Facebook, Google, and Uber. He challenges the widespread assumption that better predictions mean better decisions. Traditional machine learning excels at prediction, but is prediction really what your business needs? Stefan explores why predictive models alone often fail to answer critical “what-if” questions, how causal machine learning bridges this gap, and provides practical advice for how you can start applying causal ML at work.
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Episode 10: AI Won't Save You But Data Intelligence Will
February 12th, 2025 | 59 mins 42 secs
ai, data science, machine learning
Ari Kaplan—Global Head of Evangelism at Databricks and a pioneer in sports analytics—explains why businesses fixated on AI often overlook the real advantage: making better decisions with their own data. He shares lessons from his work building analytics teams for Major League Baseball, advising McLaren’s F1 strategy, and helping companies apply AI where it actually works—without falling into hype-driven traps.
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Episode 9: Why 90% of Data Science Fails—And How to Fix It -- With Eric Colson
January 30th, 2025 | 1 hr 9 mins
ai, data science, machine learning
Eric Colson—former Chief Algorithms Officer at Stitch Fix and VP of Data Science and Machine Learning at Netflix—explains why most companies fail to fully leverage their data science teams. Drawing on his experience leading data functions at top tech companies, he shares how organizations can move beyond treating data science as a support function and instead empower data scientists to drive strategic impact through experimentation, iteration, and algorithmic decision-making.
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Episode 8: From Zero to Scale: Lessons from Airbnb and Beyond
January 9th, 2025 | 1 hr 6 mins
ai, data science, machine learning
Elena Grewal—former Head of Data Science at Airbnb, political consultant, professor at Yale, and ice cream shop owner—shares her journey of building data teams that scale across vastly different contexts. Drawing on her experiences in tech, consulting, and brick-and-mortar, Elena offers practical lessons on leadership, trust, and experimentation.
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Episode 7: What Lies Beyond Machine Learning and AI: Decision Systems and the Future of Data Teams
December 18th, 2024 | 1 hr 18 mins
ai, data science, genai, llms, machine learning
In this episode of High Signal, Chris Wiggins—Chief Data Scientist at The New York Times, Professor at Columbia University, and co-author of How Data Happened—shares how organizations can move beyond prediction to actionable decision systems. Drawing on his work at The New York Times and in academia, Chris explains how to scale data teams, optimize systems, and align data science with organizational impact.
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Episode 6: What Happens to Data Science in the Age of AI?
December 4th, 2024 | 1 hr 18 mins
data science, genai, llms, machine learning, nlp, prompt engineering
In this episode of High Signal, Hilary Mason—renowned data scientist, entrepreneur, and co-founder of Hidden Door—shares her unique insights into the evolving world of data science and generative AI. Drawing from her pioneering work at Fast Forward Labs, Bitly, and Hidden Door, Hilary explores how creativity, judgment, and empathy are reshaping the data landscape.
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Episode 5: The Hard Truth About Building AI Systems and What Most Leaders Miss About AI
November 20th, 2024 | 1 hr 2 mins
ai, data science, machine learning
In this episode of High Signal, Gabriel Weintraub (the Amman Professor of Operations, Information, and Technology at Stanford Graduate School of Business), brings his expertise in market design, data science, and operations, enriched by his experience with global platforms like Uber and Mercado Libre, to a conversation that spans practical strategies, cultural insights, and global perspectives on data and AI.