According to a recent press release, “TigerGraph, the only scalable graph database for the enterprise, today announced that the world’s most innovative financial services organizations — from emerging companies to the world’s largest banks — have selected TigerGraph to strengthen their fraud detection and credit risk assessment efforts. In fact, four of the five largest global banks and the world’s largest payment card provider use TigerGraph for their anti-fraud initiatives. These leading banks and other financial institutions are turning to TigerGraph’s graph analytics platform for their most critical tasks, as the technology is purpose-built for linking, analyzing and computing ML (machine learning) and AI algorithms and analyzing complex data.”
Dr. Yu Xu, CEO and founder of TigerGraph, commented, “Financial services organizations are among the most powerful – yet vulnerable – institutions in the world. For every dollar of fraud, financial services companies incur $2.92 in costs, and this figure is on the rise. These organizations spend billions of dollars on anti-fraud efforts and employ thousands to uncover fraud… TigerGraph helps these companies improve their machine learning applications with graph analytics to improve the detection of ‘bad patterns’ within their vast amounts of data. If a credit applicant is a visitor knocking on your door, TigerGraph helps you see how many times they’ve knocked before, what information they have used and how this may compare with previously identified ‘bad applicants.’ TigerGraph completes all of this analysis in real-time. This allows the financial service organization to decide if you want to ‘open the door’ and do business with this person, enlist a human investigator to review the case, or decline the business as ‘high-risk.’”
Read more at tigergraph.com.
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