Webinar - Fighting Internal Banking Fraud with Machine Learning: Benefits and Practical Examples, 2 October 2018

NG Webinar Series

Fighting Internal Banking Fraud with Machine Learning:
Benefits and Practical Examples, 2 October 2018

Internal fraud can take place at any level of organization. Fraud costs $3.7 trillion each year and nearly 75 % of the banking fraud is internal (ACFE, 2016). Even if a bank successfully wards of attackers, there is always the risk of insiders abusing the precious information they hold.

Machine learning and artificial intelligence (AI) create $1 trillion of change in the financial services industry. Likewise, the impact of machine learning and AI on fraud detection and prevention is tremendous. 

Register for this webinar to learn first-hand from NetGuardians CEO Joel Winteregg and CTO Jerome Kehrli:

  • How banks are using machine learning and AI to prevent internal fraud in real-time

  • Why is it better to complement rules with machine learning for internal fraud prevention. What are the benefits?

  • How banks implement NetGuardians’ machine learning solution for internal fraud prevention

  • Solution examples in real-life

30 minutes presentation + 15 minutes Q&A


Speakers:

 John Kiptum

Joël Winteregg
Co-Founder & CEO
NetGuardians

ng-picture-jerome-kehrli

Jérôme Kehrli
CTO
NetGuardians