Sponsored by ?

This article was paid for by a contributing third party.More Information.

How to successfully mitigate fraud – AI in action

The panel

  • Amir Shachar, Lead Fraud Research Data Scientist, NICE Actimize
  • Charles Forde, Group Head of Operational Risk, AIB
  • Svetlana Belyalova, Head of Operational Risk Management, Rosbank, Societe Generale Group
  • Moderated by: Phil Albinus, Contributing Journalist, Risk.net

Fraud is evolving, with influences spanning technical sophistication through to turmoil and crisis. Most recently, the Covid-19 pandemic has thrown an additional spanner in the works. As the drivers behind these activities are becoming more varied, the technologies to mitigate these are evolving, with more data, more artificial intelligence (AI) and more machine learning. Where did it start? Where are we now? Where do we need to go?

Key topics discussed:

  • Identifying and managing supervised and unsupervised fraud
  • Understand the evolutions and applications of AI and its current state in fraud detection
  • Leveraging this maturity, regardless of the stage of adoption of your firm
  • Implementing innovative analytic techniques by utilising machine learning to improve fraud models.
  • LinkedIn  
  • Save this article
  • Print this page  

You need to sign in to use this feature. If you don’t have a Risk.net account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here: