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.
Displaying Episode 11 - 13 of 13 in total of High Signal: Data Science | Career | AI with the tag “machine learning”.
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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.