Detecting and Preventing Fraud with Analytic Modeling

Agenda

Fraud, Waste and Abuse can threaten your organization at multiple points of vulnerability. Focusing on a single channel or line of business can hinder management visibility and allow fraud to go undetected. A single, holistic management framework that integrates disparate detection systems with alert and case management can automate crime prevention and help protect your organization from financial and reputational loss. Leveraging fraud detection systems can reduce risk while helping improve analyst efficiency.

In this session you will have an opportunity to hear from some of your peers on how they have addressed fraud, waste and abuse in their respective organizations. IBM will also host a discussion on how to build an analytic model for fraud waste and abuse detection, the methodology we use to detect fraud and industry leading analytic building techniques that you can leverage in your organization.

IBM was positioned in the Leaders quadrant for Global Business Intelligence and Performance Management Service in February 2012 by Gartner, Inc. Along with industry recognition, we have extensive experience helping organizations manage the issues associated with fraud. In this seminar, we draw on this experience to clarify the process of detecting fraud and preventing it before it occurs.







Seminar Audio

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Washington D.C. - United States

IBM
600 14th Street, NW
Washington D.C.
United States

Agenda
Time Description
8:30 AM - 9:00 AM Continental Breakfast and Check-In
9:00 AM - 9:10 AM Welcome: Frank Stein, Director, Analytics Solution Center
9:10 AM - 9:50 AM An Overview of Fraud in the 21st Century
Edward Rounds, IBM Smarter Analytics Executive - North America Fraud and Crime
Rob McGinley, IBM Senior Managing Consultant - Fraud Prevention
Steve Sharp, IBM Associate Partner - Federal Business Intelligence
9:50 AM - 10:25 AM Predicting and Preventing Fraud at the World Bank
Simon Robertson, World Bank Senior Forensic Data Officer
10:25 AM - 10:40 AM Break - Light Refreshments Provided
10:40 AM - 11:10 AM Predicting and Preventing Fraud at General Electric
Terry Weatherstone, General Electric Cyber Intelligence Analyst
11:10 AM - 11:30 AM Predicting and Preventing Fraud at The Veteran's Administration
Shawn O'Neill, Veteran's Administration
11:30 AM - 12:10 AM Modeling Potential Fraud with Analytics
Jeff Chistolini, Data Specialist : Advanced Analytics , IBM Business Analytics & Optimization
12:10 AM - 12:15 PM Conclusion: Frank Stein, Director, Analytics Solution Center

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