Bigger wins!

Strengthen the business impact

delivered by predictive analytics


Agenda Overview – PAW for Government – September 17 – 18, 2012
DAY 1: Monday, September 17, 2012
7:15-8:15am Registration &
Breakfast Sponsored by:
8:15-8:30am WELCOME REMARKS
Isaiah Goodall, Director of Business Development, Elder Research, Inc. and Program Chair, Predictive Analytics World for Government
Gerhard Pilcher, Vice President and Senior Scientist, Elder Research, Inc.
8:30-9:30am
Keynote
Becoming an Ace with a Robot as your Wingman!
John Elder, Ph.D., CEO, Elder Research, Inc.
9:30-10:10am SAS Panel
Gaining Executive and Senior Management Support for Predictive Analytics

Bailey Spencer, Director for Federal Civilian and Homeland Security, SAS Federal, LLC (Moderator)
Niall Brennan, Director, Office of Information Products and Data Analytics, Centers for Medicare and Medicaid Services (CMS); John A. Cassara, Former Senior Special Agent for the Department of Treasury and Author/Lecturer on Anti-Money Laundering and Terrorist Financing; Brian Montgomery, Former Assistant Secretary for Housing and Federal Housing Commissioner, United States Department of Housing and Urban Development
10:10-10:50am BREAK
Sponsored by:
  Track 1: Track 2
10:50am-12:00pm

Data Analytics to Improve Risk Management, Cyber Security, and DHS Policy
Moderator: David Perera, Fierce Markets and FierceHomelandSecurity
David Kaufman, Director of Policy and Program Analysis, FEMA; Tom Finan, Senior Cybersecurity Strategist & Counsel, National Protection Programs Directorate (NPPD); Val Stoyanov, Reporting and Analysis Program Manager, National Cyber Security Division (NCSD)
IRS Panel:
Strategic Workforce Analytics Tool at IRS

Tommy Smith, Director of OPERA, IRS
Jonathan Edelson, Supervisory Management and Program Analyst, IRS
Emily Shammas, Operations Research Analyst, IRS
Rahul Tikekar, Computer Scientist, IRS
12:00-1:15pm LUNCH
Sponsored by:
1:15-2:00pm
Keynote
Making Analytics Pay

Dean Silverman, Senior Advisor to the Commissioner and Director, Office of Compliance Analytics, IRS
2:00-2:30pm New Methods for Developing Limited Datasets for Predicting USMC Combat Losses
JMP, Booz Allen, and USMC

Captain Aaron D. Burciaga, Director of Logistics Operations Analyses (LX), Installations and Logistics Department, USMC Headquarters Pentagon; Andrea Ferris, Consultant, Booz Allen Hamilton Inc.
  Track 1 Track 2
2:30-3:00pm
Audit Analytics: Prioritizing Audits of Facility Lease Renewals
Matt Miller, Audit Manager, USPS OIG
Monique Colter, Audit Director, USPS OIG
Future Data Standardization Mandates and What They Mean for Analytics
Hudson Hollister, Executive Director, Data Transparency Coalition
3:00-3:35pm BREAK
Sponsored by:
  Track 1 Track 2
3:35-4:05pm
Maximizing CMS Data for Internal and External Users
Niall Brennan, Director, Office of Information Products and Data Analytics, Centers for Medicare and Medicaid Services (CMS)
5 Myths of Predictive Analytics
Piyanka Jain, CEO, Aryng.com, Former PayPal Business Analytics Head
4:05-5:15pm Panel Discussion
How to Start a Data Analytics Group

Moderator: Gerhard Pilcher, Elder Research Inc.
Fred Walker, Technical Director, Counterintelligence Knowledge Management, NSA; Bryan Jones, Director, Data Mining Group, USPS OIG ; Johan Bos-Beijer, Director, Strategic Solutions Division, GSA
5:15-6:15pm NETWORKING RECEPTION

DAY 2: Tuesday, September 18, 2012
7:15-8:15am Registration &
Breakfast Sponsored by:
8:15-9:00am
Keynote
Recovery Accountability and Transparency Board Use
of Analytics and Data for Fraud Prevention

Michael Wood, Executive Director, Recovery Accountability and Transparency Board
9:00-9:45am Healthcare Fraud - Detecting Workers' Compensation Fraud with Predictive Analytics
Bryan Jones, Director, Data Mining Group, USPS OIG & Ingrid Petrakis, Claimant Fraud Specialist, Data Mining Group, USPS OIG, Office of Investigations
9:45-10:15am Applying a Risk Intelligent Modeling (RIM) Approach to Financial Management Transformation
Lieutenant Commander Amy Florentino, US Coast Guard
& Robert Gramss, Principal, Accounting, Valuation, and Analytics, Audit and Enterprise Risk Services, Deloitte & Touche LLP
10:15-10:50am BREAK
Sponsored by:   ADOBE
  Track 1: Track 2
10:50-11:20am

Detecting Fraud, Waste, and Abuse with Predictive Analytics
Antonia de Medinaceli, Director of Fraud Analytics, Elder Research
Forecasting Housing Subsidy Need in an Uncertain Economy
Dave Vennergrund, Vice President, Business Analytics, CACI
Matt Bailey, Lead Designer, CACI
11:25-11:55am
Reducing the Time and Cost of Predictive Analytics
Adobe
Nils Engel, Analytics
Preventing Catastrophic Incidents By Predicting Where They Are Most Likely To Occur And Why
Christopher Larmey, Assurance Systems, Pacific Northwest National Laboratory
Cindy Caldwell, ES&H Senior Technical Advisor, Pacific Northwest National Laboratory
12:00-1:00pm LUNCH
Sponsored by:
1:05-1:50pm
Keynote
Predictive Modeling to Find Medicare Fraud, Waste, and Abuse at CMS

David Nelson, Director Data Analytics and Control Group (DACG), Center for Program Integrity at the Centers for Medicare and Medicaid Services (CMS)
1:50-2:20pm Big Data Analytics Best Practices of Real-World Government Agencies

Marshall Presser, Field Chief Technology Officer, Greenplum, A Division of EMC
2:20-2:30pm The Many Facets of 'Predictive' Analytics in Government
IBM

Bill Haffey, Manager, SPSS Technical Professional Group, Federal IMT, IBM
2:30-3:05pm BREAK
Sponsored by:   ADOBE
  Track 1 Track 2
3:05-3:45pm
Applying Predictive Analytics
to Public Sector Applications


Benjamin Chard, Client Technical Professional, IBM
GOT BOTS? A Machine Learning Technique For Effective Detection Of BotNets
Dr. Aaron Ferguson, Technical Director, Cyber and Information Analytics Office, National Security Agency (NSA)
3:50-4:50pm Panel Discussion
Predictive Analytics from the CTO Perspective
Moderator: Gerhard Pilcher, Elder Research Inc.
Gus Hunt, Chief Technology Officer, Central Intelligence Agency (CIA); Larry Koskien, Assistant Inspector General and CTO, USPS Office of Inspector General
4:50-5:00pm CLOSING REMARKS

Register

© 2014 Predictive Analytics World | Privacy

Program by: Elder Research, Inc.
Elder Research, Inc.

Produced by Prediction Impact, Inc. and Rising Media, Inc.

Predictive Analytics Company           Predictive Analytics Event Producer