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In today’s era of data explosion, it’s more and more important for organizations to make the most of analyzing their colossal amounts of data in real time for fraud detection. The powerful combination of graphs with machine learning offers immense value in ensuring that machine algorithms are being fed quality data. As machine training become more effective, the result is more fraudulent activity being identified as it happens. Graphs are a powerful asset in helping to ensure that higher quality, more complex features can be identified to support accurate machine learning designed to find the needles in the haystacks.