Predictive Analytics World Follows Acclaimed Debut

The second Predictive Analytics World conference is slated for October 20-21, 2009 in Washington, DC and features keynote speakers Stephen Baker (author of The Numerati and Senior writer at BusinessWeek) and Usama Fayyad, Ph.D. (CEO, Open Insights and formerly Yahoo!'s Chief Data Officer and Executive Vice President).

The event follows PAW's successful debut in February, and includes predictive analytics experts, case studies, and resources aimed at strengthening the business impact delivered by and establishing new opportunities with predictive analytics. February's inaugural Predictive Analytics World saw over 200 attendees from 13 countries.

Lined up are speakers from enterprises such as Aflac, Amway, The Coca-Cola Company, Financial Times, Hewlett-Packard, IRS, National Center for Dropout Prevention, The National Rifle Association, The New York Times, Optus (Australian telecom), PREMIER Bankcard, Reed Elsevier, Sprint-Nextel, Sunrise Communications (Switzerland), Target, US Bank, Infinity Insurance, U.S. Department of Defense, Zurich — plus special examples from Anheuser-Busch, Disney, HSBC, Pfizer, Social Security Administration, WestWind Foundation and others.

The vendor-neutral conference strives to be the business-focused event for predictive analytics professionals, managers and commercial practitioners, covering commercial deployment across industries and software vendors. Attendees hear precisely how Fortune 500 analytics competitors and other top practitioners deploy predictive modeling and what kind of business impact it delivers.

"No matter how you use predictive analytics, the story is the same," says Eric Siegel, Ph.D., conference chair and president of Prediction Impact, Inc. "Predictively scoring customers optimizes business performance."

Siegel adds that predictive analytics initiatives across industries leverage the same core predictive modeling technology, share similar project overhead and data requirements, and face common process challenges and analytical hurdles.

More information at