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Predictive Analytics World

Predictive Analytics World October 29-30, 2014 in London, UK is packed with the top predictive analytics experts, practitioners, authors and business thought leaders, including:

Special Featured Sessions:
Arthur Von Eschen Sr. Director of Game Analytics
Lukas Vermeer Data Scientist
Phil Winters Customer Data Whisperer
Cheating Detection in Call of Duty User Engagement at through Topic Modelling in Travel Internet of Things meets Customer Intelligence

Predictive Analytics World London, the leading vendor-neutral analytics conference, is holding its fifth annual conference this October 29-30 in London, UK at Olympia London. PAW focuses on concrete examples of deployed predictive analytics. Join PAW London to learn exactly how top practitioners deploy predictive analytics, and the business impact it delivers.

Discover the full agenda of Predictive Analytics World London 2014 here

Post-conference workshop: Predictive modeling methods - with Dr. John Elder

On-demand workshop: Predictive Analytics Applied – An Online Introduction - with Dr. Eric Siegel

Venue: Olympia London
Join PAW London to learn how Predictive Analytics:

  • increases online user engagement at
  • 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
  • allows the NSA to detect malicious use of internet anonymizers
  • aims to make the world a better place at DataKind UK

Additionally, join PAW London to learn 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
  • apply data mining principles to time series analysis

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

What is Predictive Analytics?
Predictive analytics is the process of discovering patterns in past behavior to predict the outcome of future cases. Drawing on a combination of computer science, statistics, and operations research, predictive analytics reduces fraud, waste, and abuse, automates manual processes, and drives smarter decisions by extracting actionable insights from the vast quantities of data within government agencies.

For a short introduction of the domain, please see the video by Eric Siegel, Founding chair of Predictive Analytics World and author of the book: “Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die”.

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