Sponsored by ?

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

Fraud and AML – AI and machine learning done right

The panel

  • Achi Hackmon, Head of Artificial Intelligence and Analytics, NICE Actimize
  • Gordon Liu, Head of Wholesale and Market Risk Analytics, HSBC
  • Sandra Horma, Fraud and Chargeback Senior Lead, TransferWise
  • Igor Sumkovski, Financial Crime Manager, Santander
  • Moderator: Phil Albinus, Contributing Editor, Risk.net

What resources does your financial services organisation need to ensure success when it comes to artificial intelligence (AI) and machine learning?

Having an appropriate team in place, including domain experts, analysts and data engineers is a great start – but those teams also need appropriate tools to succeed.

Creating interfaces and delivering new models without breaking the system – or the bank – along with access to data, security and continued data behaviour monitoring, are all essential for best practice and allowing accurate real-time decisions.

Key topics discussed:

  • The benefits of AI and machine learning: agility, innovation and scale
  • Mitigating fraud and AML: best practices in applying AI and machine learning
  • Real-time insights: fuel faster and more accurate decision-making.
  • 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: