Discover Hidden Patterns with Graph Databases – Fraud Detection and More
Thursday, March 27
9:00 a.m. IST | 11:30 a.m. SGT/HKT/CST | 12:30 p.m. JST | 2:30 p.m. AEDT
45 Minutes
With a graph database, you uncover hidden patterns within complex data, which makes them ideal for building applications that solve a wide range of business problems. Graph databases help you connect the dots in ways that improve decision-making for fraud detection, network analysis, understanding customer behaviors, and more.
Join us on March 27 for a walkthrough of how to use knowledge graphs built on a Neo4j graph database to detect and prevent fraud. You’ll learn:
- The advantages of graph databases
- How to discover hidden patterns, reveal connections, and gain deeper insights
- How to use knowledge graphs to detect money laundering, claims fraud, and credit fraud
Learn to uncover hidden patterns and spot fraud instantly. If you register, you’ll receive access to an on-demand recording of the event whether you attend or not.
SPEAKER
John Stegeman
Product Specialist, Neo4j
John “Steggy” Stegeman is a Senior Graph Database Product Specialist with Neo4j. Prior to joining Neo4j, he held solution architect and consulting roles at Oracle, DXC, Waterline Data, and Hitachi Vantara. John is a self-avowed technology nerd who loves using technology to solve real-world enterprise challenges.
Michael Down
Senior Solutions Engineer, Neo4j
Michael has many years of varied experience in the IT industry across a number of domains and specialities. After several years in data and analytics leadership positions in financial services and retail industries, Michael spent 5 years at Elastic before joining Neo4j in 2021 to lead the financial services solution architecture function. He is a passionate evangelist for the power of graph databases, especially their use to unlock true business value.
