Predictive Analytics World for Government, Sept 17-18, 2012, in Washington, DC (pawgov.com), the first vendor-neutral predictive analytics conference for the government, is holding its second annual conference in Washington, DC at the Ronald Reagan Building. 

Predictive Analytics World for Government is a practically-focused conference that highlights case studies of how government agencies are currently using data analytics to solve real world problems.

Last year, with over 250 attendees, PAW-Gov featured government-leading analytics speakers presenting case studies from over 15 government agencies.

Predictive Analytics World for Government delivers predictive analytics experts, practitioners, authors and business thought leaders, including keynote addresses from:  Dean Silverman, Director, Office of Compliance Analytics, IRS; Michael Wood, Executive Director, Recovery Accountability and Transparency Board; Peter Budetti, Deputy Administrator and Director, Center for Program Integrity Center for Medicare and Medicaid Services, including plenary speaker John Elder, Chief Scientist and CEO of Elder Research.

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.