Announcing: Predictive Analytics World, Oct. 20-21 in Washington DC

Discussion in 'microsoft.public.sqlserver.datamining' started by EliseJ, Oct 1, 2009.

  1. EliseJ

    EliseJ Guest

    Hi everyone,

    I wanted to make sure you know about the next Predictive Analytics
    World conference, Oct. 20-21 in Washington DC (www.pawcon.com).

    -----------------------------

    Predictive Analytics World is the business-focused 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:

    1) Bigger wins: Strengthen the business impact delivered by predictive
    analytics

    2) Broader capabilities: Establish new opportunities with predictive
    analytics


    PAW's October 2009 program is packed with the top predictive analytics
    experts, practitioners, authors and business thought leaders,
    including keynote speakers Stephen Baker (author of The Numerati and
    Senior writer at BusinessWeek), Usama Fayyad, Ph.D. (CEO, Open
    Insights and formerly Yahoo!'s Chief Data Officer and Executive Vice
    President), and Program Chair Eric Siegel, Ph.D. (President of
    Prediction Impact and former Columbia University professor).


    Case Studies: How the Leading Enterprises Do It

    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.

    And the leading enterprises have responded, signing up to tell their
    stories. PAW-09 will have 25 sessions across two tracks, so you can
    witness how predictive analytics is applied at Aflac, Amway, Citizens
    Bank, The Coca-Cola Company, Financial Times, Hewlett-Packard,
    Infinity Insurance, IRS, Lifeline Screening, National Center for
    Dropout Prevention, The National Rifle Association, The New York
    Times, Optus (Australian telecom), PREMIER Bankcard, Reed Elsevier,
    Sprint-Nextel, Sunrise Communications (Switzerland), Target, US Bank,
    U.S. Department of Defense, Walden University, Zurich -- plus special
    examples from Anheuser-Busch, Disney, HSBC, Pfizer, Social Security
    Administration, WestWind Foundation and others.


    Workshops

    Three pre- and post-event workshops complement the core conference
    program:

    "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.
    www.predictiveanalyticsworld.com/dc/2009/predictive_modeling_methods.php

    "Hands-On Predictive Analytics"
    Instructor: Dean Abbott, President, Abbott Analytics
    www.predictiveanalyticsworld.com/dc/2009/handson_predictive_analytics.php

    "Putting Predictive Analytics to Work"
    Instructor: James Taylor, CEO, Decision Management Solutions
    www.predictiveanalyticsworld.com/dc/2009/predictive_analytics_work.php


    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, 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, behavior-based advertising, insurance pricing, sales
    forecasting, text mining and credit scoring.

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


    Rave Reviews

    February's inaugural Predictive Analytics World was an acclaimed
    success, with over 200 attendees from 12 countries witnessing case
    studies from over 20 named companies that represent 11 industries.
    Excitement and buzz ran high as participants learned how to improve
    efficiency and optimize across more than 10 business applications of
    predictive analytics.

    "Predictive Analytics World was probably the best analytics conference
    I have attended, from a knowledge point of view, in a long time...
    [and] turned into my new must-go-to conference."

    Dennis R. Mortensen
    Director of Data Insights
    Yahoo!

    Read more: Articles and blog entries about February's PAW can be
    found at www.predictiveanalyticsworld.com/pressroom.php


    Vendors.

    * Meet the vendors and learn about their solutions, software and
    services
    * Discover the best predictive analytics vendors available to serve
    your needs
    * Learn what they do and see how they compare

    Colleagues.

    * Mingle, network and hang out with your best and brightest colleagues
    * Exchange experiences over lunch, breaks and the conference
    reception, connecting with those professionals who face the same
    challenges as you


    For more information, see:
    www.predictiveanalyticsworld.com

    What is predictive analytics? See the Predictive Analytics Guide:
    www.predictiveanalyticsworld.com/predictive_analytics.php

    If you'd like our informative event updates, sign up at:
    www.predictiveanalyticsworld.com/notifications.php

    To sign up for the PAW group on LinkedIn, see:
    www.linkedin.com/e/gis/1005097

    For inquiries, e-mail us at
    or call (866) 223-2579.


    Let us know if you have any questions!

    Thanks --Elise Johnson, Predictive Analytics World
     
    EliseJ, Oct 1, 2009
    #1
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