Predictive Analytics World, San Francisco
Venue: Palace Hotel
|Event Date/Time: Feb 16, 2010||End Date/Time: Feb 17, 2010|
|Registration Date: Feb 16, 2010|
|Early Registration Date: Jan 15, 2010|
Predictive Analytics World
Dates: February 16-17, 2010
Location: San Francisco, CA
Predictive Analytics World (pawcon.com) is the business-focused event for predictive analytics professionals, managers and commercial practitioners, covering today's commercial deployment of predictive analytics, across industries and across software vendors. The conference delivers case studies, expertise and resources to achieve two objectives:
1) Bigger wins: Strengthen the business impact delivered by predictive analytics
2) Broader capabilities: Establish new opportunities with predictive analytics
The Top Experts
PAW's February 2010 program is packed with the top predictive analytics experts, practitioners, authors and business thought leaders, including keynote speakers Kim Larsen, Director Advanced Analytics at Charles Schwab, Andreas S. 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.
And the leading enterprises have responded, signing up to tell their stories. PAW-2010 includes 25 sessions across two tracks, so you can witness how predictive analytics is applied at 1-800-FLOWERS, Amazon.com, AT&T, BBC, Canadian Automobile Association, Charles Schwab, Continental Airlines, Deutsche Postbank, Google, Group RCI, IBM, PASSUR Aerospace, PayPal (eBay), Sun Microsystems, U.S. Army, Visa, Walmart Financial Services, and Younoodle, plus special examples from the U.S. government agencies CBP, NCMI, NGIC, NSA, and SSA.
February's agenda covers hot topics and advanced methods such as social data, uplift modeling (net lift), text mining, massively parallel analytics, in-cloud deployment, and innovative applications that benefit organizations in new and creative ways.
Three pre- and post-event workshops complement the core conference program:
"The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common Data Mining Mistakes"
Instructor: John F. Elder, Ph.D., CEO and Founder, Elder Research, Inc.
"Hands-On Predictive Analytics"
Instructor: Dean Abbott, President, Abbott Analytics
"Putting Predictive Analytics to Work"
Instructor: James Taylor, CEO, Decision Management Solutions
Tell-All Blog Interview
Read the interview in which conference chair Eric Siegel answers:
- What do attendees gain at PAW?
- How does PAW balance the interests of competing software vendors?
- Why did you stop doing academic research, and how does commercial application compare?
Predictive Analytics World is the only conference of its kind, delivering vendor-neutral sessions across verticals such as banking, financial services, e-commerce, education, government, healthcare, high technology, insurance, non-profits, publishing, retail and telecommunications.
And PAW covers the gamut of commercial applications of predictive analytics, including response modeling, customer retention with churn modeling, product recommendations, fraud detection, online marketing optimization, behavior-based advertising, insurance pricing, sales forecasting, text mining 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.
February's inaugural Predictive Analytics World was an acclaimed success, with over 200 attendees from 12 countries witnessing case studies from over 20 named companies that represent 11 industries. Excitement and buzz ran high as participants learned how to improve efficiency and optimize across more than 10 business applications of predictive analytics.
"Predictive Analytics World was probably the best analytics conference I have attended, from a knowledge point of view, in a long time...[and] turned into my new must-go-to conference."
Dennis R. Mortensen
Director of Data Insights
Read more: Articles and blog entries about February's PAW can be found at www.predictiveanalyticsworld.com/pressroom.php
People Who Need People
* 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
* 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
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!
For more information, see:
For a complete overview of the conference agenda, see:
Be sure to register by December 18 for the Super Early Bird rate (save $400 off the Regular Price) or by January 15 for the Early Bird rate (save $200):
Save more with this posting's promotional offer: Take an additional $50 off the Super Early Bird registration fee - a total savings of $450 - or $150 off the Early Bird or Regular registration fee with this registration discount code: ALL150
What is predictive analytics? See the Predictive Analytics Guide:
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