High Signal: Data Science | Career | AI
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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…
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…
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…
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…
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…
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,…
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…
Episode 33: Why Your AI Product Will Be Obsolete in Six Months (And What To Do About It)
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…
Episode 32: The Post-Coding Era: What Happens When AI Writes the System?
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…
Episode 31: Why Data Governance In Your Org is Broken (And How to Fix It)
Cara Dailey, VP and Head of Data Strategy at Early Warning (the parent company of Zelle), joins High Signal to discuss the evolution of high-stakes data leadership and governance. From her early work…
Episode 30: The AI Paradox: Why Your Data Team’s Workload is About to Explode
Chris Child, VP of Product, Data Engineering at Snowflake, joins High Signal to deliver a new playbook for data leaders based on his recent MIT report, revealing why AI is paradoxically creating more…
Episode 29: Why AI Adoption Fails: A Behavioral Framework for AI Implementation
Liz Costa of the Behavioral Insights Team returns to High Signal to deliver a critical behavioral science playbook for the AI era focused on human and business impact. We discuss why the potential of…
Episode 28: From Context Engineering to AI Agent Harnesses: The New Software Discipline
Lance Martin of LangChain joins High Signal to outline a new playbook for engineering in the AI era, where the ground is constantly shifting under the feet of builders. He explains how the…
Episode 27: Why Your Data Team Doesn't Have a Seat at the Table (And How to Earn It)
Paras Doshi (Head of Data, Opendoor; former data leader at Amazon) joins High Signal to unpack the playbook for building an indispensable data function. He shares his experience tackling the classic…
Episode 26: Gen AI's True Cost: Why Today's Wins Are Tomorrow's Debts
Vishnu Ram Venkataraman (Generative AI Executive & Entrepreneur; former AI Leader at Credit Karma and Intuit) joins High Signal to unpack the true cost of generative AI. Having scaled AI…
Episode 25: How Data-Driven Growth Redefined a Media Giant
Sergey Fogelson (VP of Data Science, Televisa Univision) joins High Signal to reveal how the world’s largest Spanish-language media company built a sophisticated data engine from the ground up. This…
Episode 24: Rebuilding an Airline for the 21st Century: LATAM's Data-Driven Transformation
Andrés Bucchi (Chief Data Officer, LATAM Airlines) joins High Signal to unpack how a century-old airline reinvented itself with data and AI—and how that transformation is unlocking value from fuel…
Episode 23: Why Most AI Agents Fail (and What It Takes to Reach Production)
Anu Bharadwaj (President, Atlassian) joins High Signal to unpack how humans and AI agents will work together across the enterprise, and how that shift could change the very nature of teamwork.…
S1 Episode 22: Why a Trillion Dollars of Market Cap Is Up for Grabs (and How AI Teams Will Win It)
Tomasz Tunguz (Theory Ventures) joins High Signal to unpack why a trillion dollars of market cap is up for grabs as AI reshapes enterprise software. He explains why workflows are now changing faster…
Episode 21: Why Great Data Still Leads to Bad Decisions (And How to Fix It)
Amy Edmondson (Harvard Business School) and Mike Luca (Johns Hopkins) join High Signal to unpack what actually drives good decisions in data‑rich organizations. Using contrasts like the Bay of Pigs…
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High Signal: Data Science | Career | AI has published 40 episodes since October 2024, covering topics in Business, Technology.
High Signal: Data Science | Career | AI is currently highly active with new episodes every 2 weeks. Average episode length is 54m.
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