Eric Siegel

Eric Siegel

Co-Founder & CEO, Gooder AI, and Author, The AI Playbook

A man wearing glasses and a blue shirt.

Eric Siegel, Ph.D., is a former Columbia University professor who helps companies deploy machine learning. He is the co-founder and CEO of Gooder AI, the founder of the long-running Machine Learning Week conference series and its new sister, Generative AI Applications Summit, the instructor of the acclaimed online course “Machine Learning Leadership and Practice – End-to-End Mastery,” executive editor of The Machine Learning Times, and a frequent keynote speaker. Eric’s interdisciplinary work bridges the stubborn technology/business gap. At Columbia, he won the Distinguished Faculty award when teaching the graduate computer science courses in ML and AI. Later, he served as a business school professor at UVA Darden. A Forbes contributor, Eric publishes op-eds on analytics and social justice.

Eric has appeared on Bloomberg TV and Radio, BNN (Canada), Israel National Radio, National Geographic Breakthrough, NPR Marketplace, Radio National (Australia), and TheStreet. His books have been featured in BBC, Big Think, Businessweek, CBS MoneyWatch, Contagious Magazine, The European Business Review, Fast Company, The Financial Times, Fortune, GQ, Harvard Business Review, The Huffington Post, The Los Angeles Times, Luckbox Magazine, MIT Sloan Management Review, The New York Review of Books, The New York Times, Newsweek, Quartz, Salon, The San Francisco Chronicle, Scientific American, The Seattle Post-Intelligencer, Trailblazers with Walter Isaacson, The Wall Street Journal, The Washington Post, and WSJ MarketWatch.

Illustration comparing generative and predictive AI with a visual of Earth connected to digital data icons.
9 min
How to Launch Machine Learning Projects with Eric Siegel
Eric Siegel, Co-Founder & CEO, Gooder AI, argues machine learning (ML) projects go astray because their stakeholders focus too often on the technological fireworks — the “rocket science” of predictive models.
A dark background with the words "Generative AI HYPE" written in flames.
8 min
Generative AI is not the panacea we’ve been promised
Eric Siegel has been in the AI field since 1991. He’s “horrified” by the AI hype bubble, but not for the reason you think.
A compilation of visuals featuring a mannequin and a robot, showcasing effective machine learning capabilities. Effective machine learning needs leadership — not AI hype
Practical ML can radically improve business operations, but there’s a deployment issue.
Six ways machine learning threatens social justice
Machine learning is a powerful and imperfect tool that should not go unmonitored.
Predicting the president: Two ways election forecasts are misunderstood
Everyone wants to predict who will win the 2020 presidential election. Here are 2 misconceptions to bust so people don't proclaim the death of data like they did in 2016.
Five ways your safety depends on machine learning
Machine learning, which actively protects you from all sorts of dangers, including fires, explosions, collapses, crashes, workplace accidents, restaurant E. coli, and crime.
Why eating ice cream is linked to shark attacks
Why are soda and ice cream each linked to violence? This article delivers the final word on what people mean by "correlation does not imply causation."