June 25 - 26, 2012    Chicago IL , Vereinigte Staaten
Predictive Analytics World June 2012 in Chicago is packed with the top predictive analytics experts, practitioners, authors and business thought leaders, including keynote speakers.

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.

Predictive Analytics World, June 25-26, 2012 in Chicago (http://www.pawcon.com/chicago/2012) is the business 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:

Bigger wins: Strengthen the business impact delivered by predictive analytics
Broader capabilities: Establish new opportunities with predictive analytics

PAW Chicago’s program is packed with the top predictive analytics experts, practitioners, authors and business thought leaders, including keynote addresses from: Bruno Aziza, Director, Worldwide Strategy Lead, Business Intelligence at Microsoft; Roger Craig, analytical Jeopardy! winner and CEO of Cotinga; and PAW Program Chair Eric Siegel, Ph.D. Special session from industry heavy-weight John Elder, CEO & Founder, Elder Research, Inc.

HOT TOPICS AND ADVANCED METHODS: PAW Chicago’s agenda covers advanced predictive modeling methods, analytical traction, big data, cloud analytics, customer retention, crowdsourcing predictive analytics, data visualization, enterprise dynamics, enterprise-wide decisioning, financial services, fraud detection, healthcare analytics, HR analytics, insurance, market research, online marketing, open question answering, public sector applications,

Ort

Location: Hyatt Regency McCormick Place
Kontaktieren 2233 S. Martin L. King Dr., 60616-9985 Chicago , USA
+1 (312) 567 1234