Lunch & Learn - Fraud Analytics for Fighting Financial Crime

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