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!
YOU MAY ALSO LIKE:
Real-Time Fraud Detection with Graphs
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.