Predictive Analytics World London Conference Announces Speaker Line-Up

Predictive Analytics World, the business-focused event for predictive analytics professionals, managers and commercial practitioners, today announced the speaker line-up for the 15/16 November, 2010 conference in London.

“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.” The event will be held at The Park Plaza Victoria, London, SW1V 1EQ.

PAW's London programme is packed with the top predictive analytics experts, practitioners, authors and business thought leaders, including keynote speakers Eric Siegel, Ph.D. (also Program Chair) industry heavy-weight John F. Elder, Ph.D and speakers from companies including Lloyds TSB General Insurance, SABMiller plc, Vodafone, T-Mobile, Hamburger Sparkasse, Merkle Inc., University of Melbourne, Chessmetrics plus special examples from Anheuser-Busch, Disney, Hewlett-Packard, HSBC, Pfizer, U.S. Social Security Administrationand others.

 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 – all covering today's commercial deployment of predictive analytics. 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.

 PAW covers the gamut of commercial applications of predictive analytics, including response modeling, customer retention with churn modeling, product recommendations, fraud detection, online marketing optimisation, behaviour-based advertising, insurance pricing, sales forecasting, text mining and credit scoring.

Why bring together such a wide range of endeavours? No matter how you use predictive analytics, the story is the same: Predicatively 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.

The agenda covers hot topics and advanced methods such as social data, text mining, search marketing, risk management, survey analysis, consumer privacy, sales force optimisation and other innovative applications that benefit organisations in new and creative ways.

Join PAW and access the best keynotes, sessions, exposition, expert panel, live demos, networking coffee breaks, reception, birds-of-a-feather lunches, leading brand-name enterprise leaders, and industry heavyweights in the business.

“Hands down, best applied analytics conference I have ever attended. Great exposure to cutting-edge predictive techniques and I was able to turn around and apply some of those learning’s to my work immediately. I've never been able to say that after any conference I've attended before!”  Jon Francis, Senior Statistician, T-Mobile”.

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