How Machine Learning Delivers on the Promise of AI

Eric Siegel 
Instructor: Eric Siegel 
Date: Wednesday May 7, 2025
Time:

10:00 AM PDT | 01:00 PM EDT

Duration: 60 Minutes
Webinar Id: 24111

Price Details

Live Webinar
$150. One Attendee
$290. Unlimited Attendees
Recorded Webinar
$190. One Attendee
$390. Unlimited Attendees
Combo Offers   (Live + Recorded)
$289 $340   One Attendee
$599 $680   Unlimited Attendees

Unlimited Attendees: Any number of participants

Recorded Version: Unlimited viewing for 6 months (Access information will be emailed 24 hours after the completion of live webinar)

Overview:

The excitement over machine learning and AI has reached a fever pitch. But what is the value, the function, the purpose? The most actionable win to be gained from data is prediction.

This is achieved by analytically learning from data how to render predictions for each individual. Such predictions drive more effectively the millions of operational decisions that organizations make every day. In this keynote, Gooder AI CEO and bestselling author Eric Siegel reveals how enterprise machine learning - aka predictive AI - works and the ways in which it delivers value to organizations across industry sectors.

Areas Covered in the Session:

  • How predictive AI (aka predictive analytics) improves all existing large-scale enterprise operations
  • The difference between generative AI, predictive AI, and machine learning
  • Why imperfect predictions are extremely valuable
  • Why your data represents the world's most potent, flourishing "unnatural resource"

Who Will Benefit:

  • All

Speaker Profile
Eric Siegel Ph.D., is a former Columbia University professor who helps companies deploy machine learning. He is the cofounder and CEO of Gooder AI, the founder of the long-running Machine Learning Week conference series, 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. 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. A Forbes contributor, Eric and 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.

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