- Key features and issues facing AML - Treasury Changes & Impact
- What will the role of ML, Graph, and Humans be?
- How does TigerGraph address these issues? Demos of the Art of the Possible
During this webinar, TigerGraph and Expero will discuss the complexity and state of AML, and how the roles of Humans, Graph, and Machine Learning combine.
The focus of this webinar is to identify how Machine Learning, Visualizations and new technology like Graph can directly increase the accuracy and output of retail systems. We will feature unique Expero lightning talks on ML & Business Visualization technology, followed by a Q&A session.
In this series, we’ve shown that fraud is extremely expensive and can damage a company’s reputation. Preventative measures, such as employee training and email filtering can help reduce insider threats, but still leaves threats from the outside unhindered. Easy to use fraud detection software solutions, such as the Expero Connected Toolkit, reduce the overhead required to track and predict fraud and provide a variety of tools for many user personas.
Alerts are a powerful tool for real time fraud detection systems. Alerts can be used to surface things one normally wouldn’t see in real time. You can imagine using alerts to notify users of phishing attacks, fraud, or anything suspicious. Real time alerts are important for escalating and properly mitigating threats. They can even be preventative, declining fraudulent transactions (or enabling unusual, but non-fraudulent, ones) as they occur, before they escalate into full on fraud or successful attacks.