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Predictive Analytics World

Sponsored by Predictive Analytics World

Wednesday 18-Feb-09 8:00 AM to Thursday 19-Feb-09 5:00 PM PST

Hotel Nikko
222 Mason Street
San Francisco CA 94102 USA
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Details for "Predictive Analytics World"

Predictive Analytics World

Dates: February 18-19, 2009
Location: San Francisco, CA

Predictive Analytics World is the business-focused event for predictive analytics professionals, managers and commercial practitioners. This conference delivers case studies, expertise and resources to achieve two objectives:

1) Bigger wins: Strengthen the business impact of predictive analytics deployment

2) Broader capabilities: Establish new opportunities with predictive analytics

The Top Experts

PAW 2009's program is packed with the top predictive analytics experts, practitioners, authors and business thought leaders, including keynote speakers Usama Fayyad, Ph.D. (Yahoo!'s Chief Data Officer & Executive VP), Andreas Weigend, Ph.D. (former Chief Scientist at Amazon.com), and Program Chair Eric Siegel, Ph.D. (President of Prediction Impact and former Columbia University professor).

Case Studies: How the Leading Enterprises Do It

Predictive Analytics World focuses on concrete examples of deployed predictive analytics. Hear from the horse's mouth precisely how Fortune 500 analytics competitors and other top practitioners deploy predictive modeling, and what kind of business impact it delivers.

Come to this inaugural event to see over 20 speakers and case studies from leading enterprises such as 3M, Acxiom, Affiliated Computer Services, Amazon.com, Charles Schwab, Chase, Google, The National Rifle Association, Reed Elsevier, Linden Labs (Second Life), Sun, Wells Fargo, and Yahoo! -- and hear the number one Netflix Prize competitor reveal their secret sauce.

Cross-Industry Applications

Predictive Analytics World is the only conference of its kind, delivering vendor-neutral sessions across verticals such as banking, financial services, e-commerce, entertainment, healthcare, high technology, insurance, non-profits, publishing and retail.

And PAW covers the gamut of commercial applications of predictive analytics, including response modeling, customer retention with churn modeling, product recommendations, online marketing optimization, behavior-based advertising, email targeting, insurance pricing and credit scoring.

Why bring together such a wide range of endeavors? No matter how you use predictive analytics, the story is the same: Predictively scoring customers optimizes business performance. 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.

People Who Need People

Vendors.
  • Meet the vendors and learn about their solutions, software and services
  • Discover the best predictive analytics vendors available to serve your needs
  • Learn what they do and see how they compare
Colleagues.
  • Mingle, network and hang out with your best and brightest colleagues
  • Exchange experiences over lunch, breaks and the conference reception, connecting with those professionals who face the same challenges as you
Get Started

If you're new to predictive analytics, kicking off a new initiative, or exploring new ways to position it at your organization, there's no better place to get your bearings than Predictive Analytics World. See what other companies are doing, witness vendor demos, participate in discussions with the experts, network with your colleagues and weigh your options!

Save $200: Special early-bird discount for registration by Jan 18, 2009.

For more information, visit www.predictiveanalyticsworld.com, e-mail us at registration@predictiveanalyticsworld.com or call (866) 223-2579.

WAA Members: 15% discount for Members of the Web Analytics Association (Use Promotional code "WAADISCOUNT")
 

 Event Contact

 Event Coordinator

Conference Info Predictive Analytics World
(866) 223-2579 (866) 223-2579
http://www.predictiveanalyticsworld.com/
   


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