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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 17-20, 2016, in Washington, D.C. at the Grand Hyatt Washington Hotel.

Predictive Analytics World for Government (PAWGOV) is the premier event designed to help government agency managers understand how to apply modern predictive modeling technologies to more effectively and efficiently accomplish their mission.

Predictive Analytics World for Government is packed with the top predictive analytics experts, practitioners, authors and business thought leaders, including keynote speakers Dr. Shantanu Agrawal, Deputy Administrator for Program Integrity and Director, Center for Program Integrity, Centers for Medicare & Medicaid Services (CMS); Rick Reames III, Director, South Carolina Department of Revenue; Robin Thottungal, Chief Data Scientist/Director of Analytics, US Environmental Protection Agency; and special plenary sessions from industry heavy-weight Dr. John Elder, CEO & Founder of Elder Research, Inc., and Andy Schaufele, Director, Bureau of Revenue Estimates, Maryland Comptroller of the Treasury.

Come join over 300 fellow enthusiasts from government (Federal, State, Local, and foreign), industry, academia, nonprofits, and the press to learn the impact that analytics can deliver.  Previous PAWGOV events have showcased case studies from application areas of predictive analytics in the Public Sector including:

  • Big Data
  • Improper Payment Prevention & Recovery
  • Fraud Detection
  • Audit Data Analytics
  • Healthcare Analytics and Informatics
  • Decision Support
  • 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


Click here to view this year’s agenda to see what’s in store for you.
 
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

In addition to the great exchange of information the event sessions provide, you will have ample opportunity to network with fellow professionals, earn 6 hours of continuing professional education (CPE) credits per day, and speak one-on-one with today’s top vendors specializing in analytics and visualization technologies.  Additional opportunities at this year’s conference include:

  • A third track of sessions comprised of several mini-courses related to predictive modeling.
  • For government personnel, one-on-one consulting sessions with a data science expert to discuss issues and/or questions regarding the planning, execution, or deployment of analytics within your agency.  Indicate your preference when registering.
  • Meeting space for “Birds of a Feather” impromptu group sessions based on shared interests and no pre-planned agenda.

Don’t miss out… register to be a part of PAWGOV now!

 
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 for Government. See what other agencies are doing, witness vendor demos, participate in discussions with the experts, network with your colleagues and weigh your options!
 
For more information: www.predictiveanalyticsworld.com/gov 
Take 15% off the Super Early Bird, Early Bird or the Advance Two Day Pass registration fee with this posting's promotional discount code: ABR150
 
Register by June 24, 2016 and save over $600.00.  Save an additional $200 for each additional attendee from the same company registered at the same time.
 
Register today at:  http://www.predictiveanalyticsworld.com/gov/register.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:
http://www.predictiveanalyticsworld.com/signup-gov.php

 
To sign up for the Predictive Analytics World for Government group on LinkedIn, see:
 http://tinyurl.com/pawgov


For inquiries e-mail [email protected] or call 1-717-798-3495
 
ALL ANALYTICS EVENTS:
Predictive Analytics World London - Oct 12-13, 2016 - http://predictiveanalyticsworld.co.uk/

Predictive Analytics World for Government - Oct 17-20, 2016 - http://www.predictiveanalyticsworld.com/gov/2016/

Predictive Analytics World New York City - Oct 23-27, 2016 - http://www.predictiveanalyticsworld.com/newyork/2016/

Predictive Analytics World Financial NYC - Oct 24-27, 2016 - http://www.predictiveanalyticsworld.com/financial/2016/

Predictive Analytics World for Healthcare NYC - Oct 24-27, 2016 - http://www.predictiveanalyticsworld.com/health/2016/

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

Tags: Analytics, Audit, Collection, Data, Detection, Fraud, Grant, Healthcare, IRS, Identity, More…Insider, Population, Projection, Risk, Tax, Theft, Trading, Unstructured, agencies, analytics, big, contractors, data, government, military, predictive, text

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