2014-09-16

Predictive Analytics World London, the leading vendor-neutral analytics conference, is holding its fifth annual conference this October 29-30, 2014 in London, UK.  PAW focuses on concrete examples of deployed predictive analytics.  Learn precisely how top practitioners in a variety of organizations and industries deploy predictive analytics, and experience the impact it delivers. The conference delivers case studies, expertise and resources to achieve three 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 London’s program is packed with the top predictive analytics experts, practitioners, authors and business thought leaders, including keynote addresses from industry heavy-weights Dr. Geert Verstraeten, Managing Partner, Python Predictions; Dr. John F. Elder, CEO and Founder, Elder Research, Inc.; Dean Abbott, Founder and President, Abbott Analytics and eminent British statistician Professor David J. Hand, Professor of Mathematics, Imperial College, London.

Case Studies: How the Leading Enterprises Do It:

This year’s programme features (among others) the following case studies, on how Predictive Analytics:

increases online user engagement at Booking.com

enables Activision to detect cheaters in the #1 video game on the planet

helps Tata Sky (India’s largest cable TV company) to cross sell

helps the Belgian government to detect and reduce fraud

optimizes marketing spending at Verivox.de

allows the NSA to detect malicious use of internet anonymizers

Additionally, other sessions focus on how to:

make the most out of Big Data sources

benefit from the Internet of Things to increase customer profiling and prediction

understand improbability instead of probability

successfully combine logistic regression with ensemble modeling

deploy target shuffling to avoid the peril of vast search

In last year’s edition, no less than 93% of attendees stated they would recommend PAW London to their peers, and 78% of attendees evaluate PAW as better / much better than other conferences in the domain.

PAW London aims to attract a wide variety of stories covering hot topics and advanced methods such as response modeling, churn modeling, crowdsourcing predictive analytics, demand forecasting with predictive models, discovery of technology trends, financial services, human resource retention, non-profit fundraising, online ad optimization, operational analytics, pharmaceutical and health applications, project management for analytics, risk management, social data, supply chain management, text analytics, uplift modeling (net lift), and other innovative applications that benefit organizations in new and creative ways.

Join PAW and access the best keynotes, sessions, workshops, exposition, expert panel, networking coffee breaks, reception, brand-name enterprise leaders, and industry heavyweights in the business.

Last but not least, join PAW London to interact and learn from an international network containing both managers and practitioners in the field of advanced analytics.

WORKSHOPS: PAW London also features a post-conference workshop with Dr. John Elder that complements the core conference program.

Join PAW and access the premier keynotes, sessions, workshops, exposition, expert panel, networking coffee breaks, brand-name enterprise leaders, and industry heavyweights in the business.

Cross-Industry Applications

Predictive Analytics World is the only conference series 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.

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!

Registration:   http://www.predictiveanalyticsworld.com/london/register.php

Take £75 off the Early Bird or the Advance Two Day Pass registration fee with this posting’s promotional discount code: ETG100.

Save an additional £100 for each additional attendee from the same company registered at the same time.

View the PAW London Agenda at a glance:  http://www.predictiveanalyticsworld.com/london/2014/agenda.php

Articles and blog entries about PAW can be found at pawcon.com/pressroom.php

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

If you’d like our informative event updates, sign up at:   www.predictiveanalyticsworld.com/signup-us.php

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

Follow PAW International on Twitter:   http://twitter.com/pawcon/

Follow PAW Facebook:  http://www.facebook.com/pawcon

For inquiries:
UK/Europe
Questions regarding registration, or administration: registration@risingmedia.com
Phone: +49 8151 55 66 045

ALL PREDICTIVE ANLYTICS WORLD EVENTS:

Predictive Analytics World for Government – Sept 15-17, 2014 – http://www.pawgov.com

Predictive Analytics World Boston – Oct 5-9, 2014 – http://www.pawcon.com/boston/2014/

Predictive Analytics World for Healthcare Boston – Oct 6-7, 2014 – http://www.pawcon.com/health/2014/

Predictive Analytics World London – Oct 29-30, 2014 – http://www.pawcon.com/london/2014/

Predictive Analytics World Berlin – Nov 4-5, 2014 – http://predictiveanalyticsworld.de/

PAW Videos: Available on-demand – www.pawcon.com/video

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