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AGA 2020 Internal Control & Fraud Prevention Training


W105- Predict Fraud, Waste and Abuse with Machine Learning (FOS: IT)


Sep 23, 2020 11:35am ‐ Sep 23, 2020 12:25pm

Description

Explore ways that unsupervised machine learning (ML) can work as a powerful solution in anomaly detection capabilities on a large volume of transactions. In the example case, ML finds underlying patterns in transaction data and helps an agency streamline purchase card review processes and validation of card controls.

Learning Objective:
  • Attendees will explore machine learning applications to predict fraud, waste and abuse.

Moderator(s):

Speaker(s):

  • Anil John, Technical Director, DHS S&T Silicon Valley Innovation Program
  • Karissa Matthews, Financial Specialist, Dept of Homeland Security

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