Eric Siegel
Founder; Author at Machine Learning Week; The AI Playbook
Expertise: Predictive analytics, machine learning
Education: Columbia University; Brandeis University

Eric Siegel, Ph.D., is a leading consultant and former Columbia University professor who helps companies deploy machine learning. He is 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. He wrote the bestselling Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, which has been used in courses at hundreds of universities, as well as The AI Playbook: Mastering the Rare Art of Machine Learning Deployment. Siegel’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 machine learning and AI. Later, he served as a business school professor at UVA Darden. Siegel also publishes op-eds on analytics and social justice.

Sort By
Most Recent
Most Recent
Oldest
3 Articles
A close-up of six fists raised in solidarity.
4 Ways Machine Learning Can Perpetuate Injustice and What to Do About It
When ML has the very real power to gatekeep opportunities from minority groups, employing it properly and ethically should be your number one goal.
Robot hands over a crystal ball.
Predictive AI Streamlines Operations In This Surprisingly Simple Way
Your biggest operations are made up of many small decisions. Predictive modeling can help you make them.
A woman holding a clipboard and smiling while pitching an idea to a man observing the clipboard in an elevator.
How to Sell a Machine Learning Project
Never sell “AI.” Instead, pitch operational improvements, with no more than a footnote to mention machine learning as part of the solution.