Modern casinos are increasingly using data analytics and machine learning to model player behavior and optimize every aspect of their gaming floors. Pioneered by Gary Loveman, former CEO of Caesars Entertainment, casinos now employ teams of MIT-trained mathematicians and data scientists to determine everything from the optimal slot machine hold percentage to the personalized comps offered to loyal high rollers.

By tracking player activity through loyalty cards, mining behavioral data, and running experiments, mega-resorts can create a perfectly tuned ecosystem that maximizes both player satisfaction and casino winnings.

Section: 1, Chapter: 3

Author: Nate Silver