Data & Machine Learning

Eric Siegel

Dr. Eric Siegel is a leading consultant and former Columbia University professor who helps companies successfully deploy machine learning.

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Founded the Machine Learning Week conference series in 2009, which has since drawn more than 17,000 attendees.

About Eric Siegel

Dr. Eric Siegel is a leading consultant and former Columbia University professor who helps companies successfully deploy machine learning. He is founder of the long-running Machine Learning Week conference series (17,000+ attendees since 2009) and its sister conference Generative AI World. Author of the bestselling Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (used at hundreds of universities) and The AI Playbook: Mastering the Rare Art of Machine Learning Deployment, Eric bridges the technology/business gap. He serves as executive editor of The Machine Learning Times and instructor of the acclaimed online course Machine Learning Leadership and Practice – End-to-End Mastery. A frequent keynote speaker commissioned for 170+ addresses, Eric has received numerous book awards and Columbia’s Distinguished Faculty Award. His interdisciplinary work makes machine learning understandable and captivating while providing concrete frameworks for successful AI deployment.

The High Cost of AI Hype

Eric Siegel keynote topics

The High Cost of AI Hype

Eric Siegel shows that for most machine learning projects, the term AI goes entirely too far, because it alludes to human-level capabilities. By unpacking what AI actually means, he reveals just how overblown the buzzword is, and why that hype carries a cost for organizations trying to get real value from machine learning.

Machine Bias: The Inequity in Predictive Models

Eric Siegel, who has published a dozen op-eds on responsible machine learning, shows exactly what is often referred to as machine bias: unequal false-flag rates across groups. Those errors affect consequential decisions, such as who is incarcerated and who is approved for a loan. The talk makes the inequity in predictive models concrete for the people who deploy them.

The BizML Playbook for Getting Machine Learning Deployed

A keynote on BizML, Eric Siegel’s approach to running machine learning projects end to end so they actually get deployed. Drawing on The AI Playbook, he bridges the gap between technology and business, making machine learning understandable and genuinely deployable for the executives and teams responsible for launching it.

Five Ways to Hybridize Predictive and Generative AI

Eric Siegel lays out five ways to combine predictive and generative AI. Predictive AI improves existing large-scale operations, while generative AI generates new content items and code, answers questions and serves as a thought partner. The keynote shows how the two can be hybridized, turning generative AI hype into practical business value.

https://player.vimeo.com/video/1045160561