This talk will present an overview of the history and current advances of predictive analytics in the world of business, with applications drawn from such diverse fields as retail, utilities, manufacturing, public service, financial services, insurance, and sports. Methods will include discussion of such topics as ensemble models, gradient boosting, partial least squares, support vector machines, text mining, link analysis, and association rule mining.