High Signal: Data Science | Career | AI

Episode 21: Why Great Data Still Leads to Bad Decisions (And How to Fix It)

Episode 20: Incentives, Accountability, and the Data Leader’s Dilemma

Episode 19: Defaults, Decisions, and Dynamic Systems: Behavioral Science Meets AI

Episode 18: High-Stakes AI Systems and the Cost of Getting It Wrong

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

Episode 16: How Human-Centered AI Actually Gets Built

AI functions as a civilizational technology, necessitating a human-centered framework to ensure shared prosperity and minimize societal disruption. Fei-Fei Li, a pioneer in computer vision and AI, emphasizes that human-centeredness operates across three concentric layers: individual dignity, community empowerment, and ...

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

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

Episode 13: The End of Programming As We Know It

Episode 12: Your Machine Learning Solves The Wrong Problem

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

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

Episode 9: Why 90% of Data Science Fails—And How to Fix It -- With Eric Colson

Episode 8: From Zero to Scale: Building Data Functions from Airbnb to Brick-and-Mortar

Episode 7: What Lies Beyond Machine Learning and AI: Decision Systems and the Future of Data Teams

Episode 6: What Happens to Data Science in the Age of AI?

Episode 5: The Hard Truth About Building AI Systems and What Most Leaders Miss About AI

Episode 4: How to Build an Experimentation Machine and Where Most Go Wrong

Episode 3: Data Science Meets Management: Teamwork, Experimentation, and Decision-Making

In this podcast episode, hosts Hugo Bowne-Anderson and Chiara Farronato, a Harvard Business School Associate Professor, delve into the game-changing role of digital platforms and the vital need for clear communication between managers and data scientists. They discuss how effective collaboration—illustrated by the Uber...

Episode 2: Fooling Yourself Less: The Art of Statistical Thinking in AI

In this episode, we hear from Andrew Gelman, a leading statistician and political scientist, who dives into the practical side of data science. He highlights the importance of data quality, simulations, and coding skills, advocating for these aspects over traditional statistical theory. Gelman uses compelling examples ...