Graph databases have fueled new types of applications in the era of big data. From recommendation systems of social network and e-commerce to financial services data relationships, Neo4j can capture the complex relationship of data and network structure, allowing faster problem solving. Compared to traditional databases, Neo4j is intuitive, simple and understandable to non-technical users. In this workshop, you will learn how to detect first-party financial fraud using Neo4j, and leverage graph algorithms and machine learning for fraud prediction. Please join us on Thursday, May 26th at 19:00 PM (Taiwan Time/GMT+8)!