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 110+ addresses, Eric won Columbia’s Distinguished Faculty Award. His interdisciplinary work makes machine learning understandable and captivating while providing concrete frameworks for successful AI deployment.
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 110+ addresses, Eric won Columbia’s Distinguished Faculty Award. His interdisciplinary work makes machine learning understandable and captivating while providing concrete frameworks for successful AI deployment.
The Questions That Drive Their Work
01
How does machine learning create business value?
02
Why do most AI projects fail?
03
What does successful ML deployment require?
THEIR CHOSEN OBJECT
The skull of Sophia The Robot
"The greatest tool is the hardest to use—machine learning requires specialized practice."
What it represents
Eric’s expertise lies in making machine learning actionable for business leaders, translating technical capabilities into strategic value.
He developed the gold-standard six-step practice for successfully deploying machine learning projects that actually deliver ROI.
