Regus Samsung Hub

3 Church Street
Level 8
Singapore 049483

About

What if just one financial crime-fighting solution could empower your business users to improve handling of anti-money laundering, credit card fraud, trade surveillance, and medical fraud?

Most financial crime-fighting systems have two disadvantages:

  • They flag too many false positives that cause investigators to focus on the wrong cases.
  • They involve manual procedures that result in investigations taking too long to complete.

TIBCO’s solution addresses both these disadvantages. In this Lunch & Learn, Andrew will demonstrate how your organisation can empower business users to improve handling of financial crimes such as anti-money laundering, credit card fraud, trade surveillance, and medical fraud through machine learning. This will be demonstrated in four parts:

  • Visualising and understanding your data
  • Using supervised learning to optimize known fraud detection cases
  • Using unsupervised learning for unknown fraud cases detection
  • Applying both models to your current dataset or in real time.

Light lunch will be provided.

For enquiry, please contact us at apjmarketing@tibco.com

Registration Closed

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