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Predictive Analytics World Boston 2013- Valutrics

Predictive Analytics World Boston 2013


Sep 29 – Oct 3, 2013

Venue: seaport world trade center boston

Location: Boston, Massachusetts, United States

Predictive Analytics World, Sept 29-Oct 3, 2013 in Boston 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

Big Data: Leverage bigger data for prediction and drive bigger value

PAW Boston is one of the biggest cross-vendor predictive analytics events ever. PAW’s program is packed with the top predictive analytics experts, practitioners, authors and business thought leaders, including keynote addresses from: Saum Mathur, Global CIO, HP Software; Michael Berry, Business Intelligence Director, TripAdvisor; Eric Siegel, Founding Chair, Predictive Analytics World; including a special session from industry heavy-weight John Elder, CEO & Founder, Elder Research, Inc.

Case Studies: How the Leading Enterprises Do It

Predictive Analytics World focuses on concrete examples of deployed predictive analytics. You can 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.

PAW’s Boston 2013 program will feature over 30 sessions with case studies across 2 tracks: 1) All Audiences and 2) Expert/Practitioner so you can witness how predictive analytics is applied at leading enterprises such as: AOL, AutoNation, The Bill and Melinda Gates Foundation, City of Las Vegas, CompassLabs, First Tennessee Bank, Goldman Sachs, Hewlett-Packard, KeyBank, Lancaster, New Directions Behavioral Health, Opta Information Intelligence, Paychex, Quantcast, Redcats, Subaru of America, TripAdvisor, UCSD – San Diego Supercomputer Center, XO and a major US Medicare Administrator, Analysis of public complaint data and a Fortune 500 Company.

HOT TOPICS AND ADVANCED METHODS: PAW Boston’s agenda covers hot topics and advanced methods such as Analytics Talent, Customer Insights, Customer Satisfaction, Energy Management, Healthcare Analytics, Holistic Marking Applications, Insider Trading Detection, Insurance – Risk Modeling, Internet Security, Lifetime Value, Media Spend Analytics, Online Ad Optimization, Public Sector Applications, Sales Lead Scoring, Sales Strategy, Uplift Modeling, and other innovative applications that benefit organizations in new and creative ways.

TEXT ANALYTICS: Text Analytics World, co-located with PAW Boston Oct 2-4, 2013, provides reasonable cross-registration options so your breadth of session topics expands to include this rapidly growing field.

WORKSHOPS: PAW also features several full-day pre- and post-conference workshops that complement the core conference program.

Join PAW and access the premier keynotes, sessions, workshops, exposition, expert panel, live demos during “Lab session”, networking coffee breaks, reception, birds-of-a-feather lunches, brand-name enterprise leaders, and industry heavyweights in the business.

Cross-Industry Applications:

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, social gaming, 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, human resource decision-making, law enforcement, sales forecasting, and credit scoring.

Why bring together such a wide range of endeavors? 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.

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