SESSION + Live Q&A
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!
Speaker
Jim Webber
Chief Scientist @Neo4j
Dr. Jim Webber is Chief Scientist with Neo Technology the company behind the popular open source graph database Neo4j, where he where he works on R&D for highly scalable graph databases and writes open source software. Jim has written two books on integration and distributed systems:...
Read moreFind Jim Webber at:
Location
Windsor, 5th flr.
Track
Security, Incident Response & Fraud Detection
Topics
Neo4jFraud DetectionGraph DatabaseSecurityInterview AvailableShare
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