Predictive Analytics World Conference – October 19-20, 2010 - Washington, DC

Discussion in 'microsoft.public.sqlserver.datamining' started by EliseJ, Jun 28, 2010.

  1. EliseJ

    EliseJ Guest

    Predictive Analytics World Conference – October 19-20, 2010 -
    Washington, DC

    Dates: October 19-20, 2010
    Location: Washington, DC

    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

    The Top Experts

    PAW's October 2010 program is packed with the top predictive analytics
    experts, practitioners, authors and business thought leaders,
    including keynote speakers Piyanka Jain of PayPal, Andrew Pole of
    Target and Program Chair Eric Siegel, Ph.D. -- plus special sessions
    from industry heavy-weights Usama Fayyad, Ph.D. and John F. Elder,

    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's October program includes over 25 sessions across two
    tracks - an "All Audiences" and an "Expert/Practitioner" track -- so
    you can witness how predictive analytics is applied at 1-800-FLOWERS,
    CIBC, Corporate Executive Board, Forrester, Ingram Micro, LifeLine,
    MetLife, Miles Kimball, Monster, Paychex, PayPal (eBay), SunTrust,
    Target, UPMC Health Plan, Xerox, YMCA, and Yahoo!, plus special
    examples from the U.S. government agencies DoD, DHS, and SSA.

    October's agenda covers hot topics and advanced methods such as social
    data, text mining, search marketing, risk management, survey analysis,
    consumer privacy, sales force optimization and other innovative
    applications that benefit organizations 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.


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

    "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,

    "Hands-On Predictive Analytics"
    Instructor: Dean Abbott, President, Abbott Analytics

    "Driving Enterprise Decisions with Business Analytics and Business
    Instructor: James Taylor, CEO, Decision Management Solutions

    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

    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: 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

    Rave Reviews

    "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 learnings to my work immediately.
    I've never been able to say that after any conference I've attended

    Jon Francis
    Senior Statistician

    Read more: Articles and blog entries about February and October's PAW
    can be found at

    People Who Need People


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


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

    Get Started

    If you're new to predictive analytics, kicking off a new initiative,
    or exploring new ways to position it at your organization, there's no
    better place to get your bearings than Predictive Analytics World.
    See what other companies are doing, witness vendor demos, participate
    in discussions with the experts, network with your colleagues and
    weigh your options!

    For more information, see:

    For a complete overview of the conference agenda, see:

    Be sure to register by September 10th for the Early Bird rate (save

    Save more with this posting's promotional offer: Take an additional
    $150 off the Early Bird - a total savings of $350 - or the regular
    registration fee with this registration discount code: GOO150

    What is predictive analytics? See the Predictive Analytics Guide:

    If you'd like our informative event updates, sign up at:
    To sign up for the PAW group on LinkedIn, see:

    For inquiries e-mail or call
    EliseJ, Jun 28, 2010
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