Predictive Analytics World, Feb 16-17, San Francisco

At Predictive Analytics World we like to drill deep into concrete examples of deployed predictive analytics. 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. The program is packed with the top predictive analytics experts, practitioners, authors and business thought leaders, including keynote speakers:

Kim Larsen Director Advanced Analytics Charles Schwab & Co.

Andreas S. Weigend, Ph.D. Former Chief Scientist Amazon.com

Eric Siegel, Ph.D. Conference Chair PAW

Further highlights of the February program include:

Social Data

• 1-800 Flowers: Leveraging Social Media Data to Manage Fraud Risk
• Leading North American Telecom: The Social Effect: Predicting Telecom Customer Churn with Call Data

Uplift Modeling

• Charles Schwab & Co: Response Modeling is the Wrong Modeling: Maximize Impact With Net Lift Modeling

Massively Parallel Analytics

• Google: Massively Parallel Learning of Tree Ensembles to Predict Ad Quality

In-Cloud Deployment

• In-database Vs. In-cloud Analytics: Implications for Deployment

Text Mining

• Text Mining: Lessons Learned - John Elder, Ph.D., Elder Research, Inc.
• Fortune 500 global technology company: Rules Rule: Inductive Business-Rule Discovery in Text Mining

Innovative Applications

• Eureka! Seven Innovative Applications of Predictive Analytics, Eric Siegel, Ph.D., Conference Chair
• Younoodle: The Mathematics of Innovation: Predicting Startup Success
• Visa: Building 10,000 Predictive Models: Scaling Health & Status Models to Large, Complex Systems
• Continental Airlines and PASSUR Aerospace: Predicting the Health of Air Traffic Systems
• U.S. Army, and a large commercial satellite company: Reliability Analytics: Predicting Equipment Failure

Cross-Sell & Recommendations

• PayPal (eBay): Next Best Product Model: How to optimize on probability as well as profitability
• AT&T: Market Simulation in the Telecommunications Sector
• Sun Microsystems: Time-Purchasing Analytics and Next-Logical Predictions: Lessons from the High-Tech B2B World

Plus leading edge workshops:

Workshops - In-depth, Practical and Hands-on

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

I look forward to seeing you there.

Eric Siegel
PAW Conference Chair

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Predictive Analytics World
February 16-17, 2010 - San Francisco
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