Episode 15: Why Good Metrics Still Lead to Bad Decisions — and How to Fix It

Episode 15: Why Good Metrics Still Lead to Bad Decisions — and How to Fix It

Eoin O'Mahony—data science partner at Lightspeed, former Uber science lead, and one of the early architects of the system that kept NYC’s Citi Bikes available across the city—argues that positive metrics are meaningless if you don’t understand the mechanism behind them. At Uber, he was careful to make sure his launches both looked good on paper and made sense in practice. Now in venture, he’s applying that same rigor to unstructured data—using GenAI to scale a kind of work that’s long resisted systematization.

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Episoder(41)

Episode 41: The Verification Crisis: Why Trust Is the New Bottleneck in AI

Episode 41: The Verification Crisis: Why Trust Is the New Bottleneck in AI

Noah Smith, economist and author of Noahpinion, joins High Signal to look at what AI is already changing… and what it isn’t. The conversation moves beyond the usual productivity hype to ask harder que...

18 Jun 53min

Episode 40: The Economic Reality of AI: Friction, Talent, and the Future of the Firm

Episode 40: The Economic Reality of AI: Friction, Talent, and the Future of the Firm

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 sci...

26 Mai 58min

Episode 39: The 100-Year Lead: What Baseball Teaches Us About the Future of AI

Episode 39: The 100-Year Lead: What Baseball Teaches Us About the Future of AI

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...

12 Mai 56min

Episode 38: Why AI Won’t Fix Your Data Culture, It Will Only Amplify It (And What To Do About It)

Episode 38: Why AI Won’t Fix Your Data Culture, It Will Only Amplify It (And What To Do About It)

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 cul...

16 Apr 45min

Episode 37: Engineered Intelligence and The Data Science Problem in AI

Episode 37: Engineered Intelligence and The Data Science Problem in AI

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 ...

2 Apr 46min

Episode 36: AI and the Judgment Problem in Data Science

Episode 36: AI and the Judgment Problem in Data Science

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...

19 Mar 1h 3min

Episode 35: Beyond Online Experimentation: Generative Software That Optimizes Itself

Episode 35: Beyond Online Experimentation: Generative Software That Optimizes Itself

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...

5 Mar 55min

Episode 34: Duolingo and the Future of Personalized Education with AI

Episode 34: Duolingo and the Future of Personalized Education with AI

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 provi...

10 Feb 45min

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