Finding Needles in a Haystack With Graph Databases and Machine Learning

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Finding Needles in a Haystack With Graph Databases and Machine Learning

Graph features generated in real-time by TigerGraph are being used for a host of use cases beyond identifying phone-based scams. These include training Machine Learning to detect various other types of anomalous behavior, including credit card-related fraud — which affects all merchants selling products or services via eCommerce, and money laundering violations — spanning the entire financial services ecosystem and including banks, payment providers and newer cryptocurrencies such as Bitcoin and Ripple.

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