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Using machine learning to identify potential fraud

July 16 @ 11:00 am - 12:00 pm BST

This session will provide an overview of using machine learning to identify fraud. Improve your work production flow by implementing this new and effective tool, specifically designed to counteract fraud and stop it in its tracks.

The session will include:

  • Learning to understand why machine learning is useful
  • Adopt different approaches to identifying fraud
  • Understand the different techniques that can be applied
  • Explore real life case study, using machine learning to identify fraud

Speaker

Rachel Kirkham, Director, AI Solutions, Europe, MindBridge

Rachel is Director, AI Solutions, Europe, responsible for the delivery of tailored solutions and services for the European market. Prior to joining MindBridge, Rachel was the Head of Data Analytics Research at the UK National Audit Office, leading a team of data scientists and analysts in developing unique data analytics capabilities for financial audit. For over 12 years, Rachel has bridged the gap between deep data analytics and complex market requirements, developing applications and visualizations that solve real problems in auditing and finance. As a passionate champion for the positive influence of women in technology, Rachel is a founding member of R-Ladies Global and often speaks on the importance of diversity in STEM. Rachel is an ACA-qualified chartered accountant and subject matter expert for the institute.