Revolutionizing Transaction Monitoring Using Artificial Intelligence
- Sep 5, 2024 10:00 a.m.
- Central Time (CT)
Artificial intelligence (AI) is increasingly being used by fraudsters in money laundering efforts, presenting a formidable challenge to the fraud-fighting community. In response, fraud examiners must equip themselves with advanced techniques to combat this evolving threat.
In this session, you will explore the use of AI in anti-money laundering, as well as fraud prevention and detection, with a focus on developing rule-based and prediction-based scenarios. Additionally, you will review examples of mobile and internet banking fraud, along with the challenges and risks associated with using AI and how to mitigate those risks.
This session is for CFEs with a basic knowledge of fraud monitoring or compliance programs. Individuals should have prior basic knowledge of anti-money laundering compliance programs.
Implement AI to develop scenarios that detect anomalies in banks and financial institutions.
Differentiate between rule-based and predictive analytics.
Apply best practices to manage false positive alerts.
CPE Credit: | 2 |
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Advanced Preparation: | None |
Delivery Method: | Group Internet Based |
Information Technology: | 2 |
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Associate Vice President, Fraud Risk Management
Sohar International
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