High Signal: Data Science | Career | AI

High Signal: Data Science | Career | AI

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 for practical insights from the best to help you advance your career and make an impact in these rapidly evolving fields. More on our website: https://high-signal.delphina.ai/

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Episoder(41)

Episode 17: The Incentive Problem in Shipping AI Products — and How to Change It

Episode 17: The Incentive Problem in Shipping AI Products — and How to Change It

Roberto Medri, VP of Data Science at Instagram, explains why most experiments fail, how misaligned incentives warp product development, and what it takes to drive real impact with data science. He sha...

29 Mai 202553min

Episode 16: How Human-Centered AI Actually Gets Built

Episode 16: How Human-Centered AI Actually Gets Built

Fei-Fei Li—co-director of Stanford’s Human-Centered AI Institute and one of the most respected voices in the field—reflects on AI’s evolution from the early days of ImageNet to the rise of foundation ...

13 Mai 202547min

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 metr...

24 Apr 202554min

Episode 14: Why Most Companies Aren’t Actually AI Ready (and What to Do About It)

Episode 14: Why Most Companies Aren’t Actually AI Ready (and What to Do About It)

Barr Moses—co-founder and CEO of Monte Carlo—thinks we’re headed for an AI reckoning. Companies are building fast, but most are still managing data like it’s 2015. In this episode, she shares high-sta...

10 Apr 202551min

Episode 13: The End of Programming As We Know It

Episode 13: The End of Programming As We Know It

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 co...

27 Mar 20251h 23min

Episode 12: Your Machine Learning Solves The Wrong Problem

Episode 12: Your Machine Learning Solves The Wrong Problem

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 t...

13 Mar 202554min

Episode 11: What Comes After Code? The Role of Engineers in an AI-Driven Future

Episode 11: What Comes After Code? The Role of Engineers in an AI-Driven Future

Peter Wang—Chief AI Officer at Anaconda and a driving force behind PyData—challenges conventional thinking about AI’s role in software development. As AI reshapes engineering, are we moving beyond wri...

27 Feb 20251h 5min

Episode 10: AI Won't Save You But Data Intelligence Will

Episode 10: AI Won't Save You But Data Intelligence Will

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 dat...

12 Feb 202559min

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