Real-Time Fraud Detection with Graphs
Finance is awash with data, but much of it is discrete items locked up in silos waiting to be joined up to provide insights. Graph data is different: it's joined by default and oozes domain-specific insight.
In this talk we'll discuss several kinds of fraud common in financial services and see how each naturally decomposes into a straightforward graph use-case. To demonstrate the power of connected data, we'll explore use-cases using Neo4j and the (now open standard) Cypher query language to showcase just how performant, pleasant and powerful graphs can be, and how the fraudsters need to beware!
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Real-Time Fraud Detection with Graphs
Jim Webber
Dr. Jim Webber is Chief Scientist with Neo Technology, the company behind the popular open source graph database Neo4j, where he works on R&D for highly scalable graph databases and writes open source software. His proven passion for microservices ecosystems and REST translate into highly engaging workshops that foster collaboration and discussion.