Webinar: Reducing Risk in Adverse Information and Media with Machine Learning

Key takeaways:

  • Identifying the adverse news in the noise
  • How machine learning reduces workloads
  • The results of a machine learning approach
  • Practical case studies using world-famous examples of adverse media
Speaker

Blake Cuningham

As AIM Insight Product Manager, Blake works with the engineering team to deploy state of the art data processing and machine learning technology that ensures ComplyAdvantage customers have access to the most relevant risk information.

Please select your time:

London

14th November 2019

Singapore

26th November 2019

Configuring a Transaction Monitoring solution to balance regulatory and operational requirements is not an easy task. Heavy fines, low customer satisfaction, high operational costs, reputational damage and regulatory investigation are all potential consequences of getting it wrong – clearly illustrated by recent incidents at Revolut and N26.

How can you effectively monitor suspicious activity whilst minimizing low-value alerts?

Could your business have a better approach to ongoing monitoring and configuring new rules?

Has your system been built to scale with your growth? What’s your industry standard for risk?