At present, the majority of the approaches to identifying fraud are through rule-based methodologies. These approaches used to work to a point when the speed of identification was important. However, fraudsters are becoming more sophisticated in their approaches and fraud detection is getting harder.

In this webinar, we look at how companies are using machine learning from H2O.ai to increase the number of fraudulent activities that can be identified without compromising on the speed at which this is performed.

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