The new Predictive Analytics World conference focuses on data mining and predictive models to predict customer behavior in business environments, so it was gratifying to see R mentioned prominently in many talks. Keynote speaker John Elder included R in a list of data analysis tools he uses. Natasha Balac described how she uses R to fit models to detect fraud in Medicaid claims. Dean Abbott mentioned it was possible to use R to fit ensemble models. (An aside: ensemble models in general are a hot topic in this crowd.) Anne Milley, in the sponsored presentation from SAS, even took the time to mention the New York TImes article on R and the fact that integration to R is now available from SAS/IML. (It's pleasing to see SAS is warming to R: Anne also mentioned there are plans to extend integration to base SAS and JMP, too.) There may well have been more mentions -- I couldn't go to all of the parallel-track sessions, and I expect R will feature in more talks on the second day of the conference.