Case Study

Reducing fraud with AI-enabled databases

Reducing fraud with AI-enabled databases

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Graph databases are an alternative to relational databases, which process connections to better understand data. By integrating Fujitsu’s AI technology , LARUS wanted to make its Galileo.XAI solution smarter and faster . Galileo.XAI can also unlock new insights thanks to the Deep Tensor core engine. Challenge LARUS wanted to introduce an AI component to its graph-based database platform to enable it to detect new fraud patterns faster with fewer false positives. It turned to Fujitsu for advice. Solution LARUS and Fujitsu integrated Finplex EnsemBiz Deep Tensor machine learning technology with Galileo.XAI to create an explainable AI-enabled graph data platform. Outcomes • Fraud detection improved from 72% to 89% • False positives reduced by 63% • Delivers the speed, s

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