Predictive Analytics World, March 14-15 will cover hot topics, including uplift modeling, social data (several sessions), cross-industry applications, ensemble models, fraud detection, and much, much more.
The full agenda may be viewed here.
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Five Ways Predictive Analytics Cuts Enterprise Risk
Eric Siegel, Ph.D. , PAW Chair
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Lessons Learned in Predictive Modeling for Ad Targeting
Sugato Basu, Ph.D. Senior Research Scientist, Google
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The State of the Social Data Revolution
Andreas S. Weigend, Ph.D., Former Chief Scientist, Amazon.com
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Data Mining Lessons Learned - Technical & Business - From Applied Projects
John Elder, Ph.D., Elder Research, Inc.
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Deploying Analytics with a Rules-Based Infrastructure
James Taylor, Decision Management Solutions
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Black Box Trading: Analytics in the land of the Vampire Squid
David Andre, Ph.D., Cerebellum Capital
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Case Study: YMCA - Turning Member Satisfaction Surveys into an Actionable Narrative
Dean Abbott, Abbott Analytics
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Predictive Analytics World
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PAW San Francisco
Mar. 14-15, 2011
Follow this link for email updates
PAW Washington DC
October, 2011
Follow this link for email updates
PAW London
November, 2011
Follow this link for email updates
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