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Thank you for attending Predictive Analytics World for Government 2016! We are taking a break in 2017, but stay tuned for the announcement for PAWGOV 2018.

Even though the conference is over, doesn't mean the networking is. Follow the hashtag #PAWGov to stay connected. Looking for more Predictive Analytics? Check out our portal, The Predictive Analytics Times.

Predictive Analytics World for Government's 6th Annual Conference: October 17-20, 2016 in Washington, DC

Predictive Analytics World for Government is the largest and only vendor-neutral analytics conference for government. We are holding our sixth annual conference this October 17-20th in Washington, DC at the Grand Hyatt Washington Hotel.

Keynote Speakers:

Dr. Shantanu Agrawal
Dr. Shantanu Agrawal
Deputy Administrator for Program Integrity
Director, Center for Program Integrity, Centers for Medicare & Medicaid Services (CMS)
Implementing Predictive Analytics at CMS: Lessons Learned and Future Directions
Dr. Jason Matheny
Dr. Jason Matheny
Director, IARPA
Intelligence Advanced Research Projects Activity
IARPA's Forecasting Tournaments
Rick Reames III
Rick Reames III
South Carolina Department of Revenue
Reinventing Refund Rhetoric: Using Predictive Analytics to Fight Fraud
Robin Thottungal
Robin Thottungal
Chief Data Scientist/Director of Analytics
US Environmental Protection Agency
21st Century Data-Driven Environmental Protection

Plus the following special plenary sessions:

John Elder
Dr. John Elder
CEO & Founder
Elder Research, Inc.
Doing Space-Age Analytics with Our Hunter-Gatherer Brains
Andy Schaufele
Andy Schaufele
Director, Bureau of Revenue Estimates
Maryland Comptroller of the Treasury
Tax Fraud Analytics in Maryland --
The Evolution, Challenges, and Rewards

Predictive Analytics World for Government Overview:

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

Attendees include:

  • Department of Treasury
  • Securities and Exchange Commission (SEC)
  • Internal Revenue Service (IRS)
  • Recovery Accountability and Transparency Board (RATB)
  • U.S. Postal Service (USPS)
  • National Science Foundation (NSF)
  • Department of Veterans Affairs (VA)
  • U.S. Navy
  • U.S. Army
  • Department of Defense (DOD)
  • U.S. Secret Service
  • U.S. Census Bureau
  • U.S. House of Representatives
  • Bill and Melinda Gates Foundation
  • State of Michigan

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.

Who Should Attend?
Predictive Analytics World for Government is for Federal, State, and Local government leaders, analysts, and program managers including:

  • CXO's, including CFOs, CIOs, CTOs, CHCOs
  • Directors
  • Technology Leadership and IT Specialists
  • Program Managers
  • Acquisition Leaders and Specialists
  • Human Capital Leadership and Specialists
  • Law Enforcement Agents and Managers
  • Inspector General Staff and Leadership
  • Auditor and Audit Managers
  • Forensic/Fraud Examiners
  • Management Analysts
  • Performance Analysts
  • Data Scientists and Analysts
  • Government contractors and consultants
  • Private sector leaders interested in helping government use data to make better decisions

Conference Case Studies
PAWGOV is designed to help agency managers understand how they can apply predictive analytics to more effectively and efficiently accomplish their mission. Last year over 400 of your peers and leading government experts on data analytics gathered at PAWGOV to connect, share best practices, and learn from real-word case studies. This year's agenda will focus on the following application areas of data analytics:

  • Big Data
  • Improper Payment Prevention & Recovery
  • Fraud Detection
  • Audit Data Analytics
  • Healthcare Analytics and Informatics
  • Decision Support
  • Overcoming Obstacles to Implementing Analytics
  • Population Projection
  • Tax and Revenue Collection
  • Detecting Identity Theft
  • Risk Management Analytics
  • Grant Oversight Analytics
  • Quantitative Stock Trading
  • Detecting Insider Trading
  • Text Analytics / Unstructured Data Analysis

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