Neo4j's Bryan Evans talks about the company's fraud detection strategy, based on a database of knowledge graphs, at AWS Financial Services Symposium.

Neo4j’s namesake database technology enables organizations to create a knowledge graph of information to better understand relationships across data and content.

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

By combining ontology and large language model-driven techniques, engineers can build a knowledge graph that is easily queried and updatable.

Knowledge graphs are driving industry disruption and business transformation by bringing together previously disparate data, using connections for decision support, and adding context to AI ...