Neo4j with GDS & ML for Financial Fraud Detection

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#neo4j #datascience #graph
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.

We are delighted to have Robin Fong, the GM for Neo4j Greater China Region, and Tang-Wei, our Neo4j specialist as our speakers to share their insights into graph data science with a demo. 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.

1:56 Introduction to leading graph data platform - Neo4j
10:06 Fraud and AML SOLUTION
13:11 Graph Data Science
22:32 Graphs for Fraud Detection
27:40 Demo Data Overview
33:17 Graph Algorithms for Demonstration
36:50 Demo: Fraud Detection using Neo4j

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