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

Knowledge graphs are of particular interest and are typical use cases for Neo4j. When you store connected data in Neo4j and add context to it, it becomes much more valuable. For ex - take the case of ...

NASA has been using graph database technology from Neo4j to help with cataloguing and making sense of the mountain of engineering knowledge data that space agency has collected over the last 60 years.

Developers can implement Azure Data Factory to ingest data from OneLake into Neo4j, extract data from Synapse Data Warehouse using the Neo4j data warehouse connector, run Graph Data Science algorithms ...

Neo4j, the world’s leading graph database and analytics company, announced that it has surpassed US$200 million in annual recurring revenue (ARR), doubling its ARR over the past three years. The ...

Graph database company Neo4j Inc. said today it’s embarking on a multiyear strategic collaboration with the cloud computing giant Amazon Web Services Inc. to enable enterprises to enhance the ...

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

Enterprises that want to use powerful graph algorithms to discover relationships hidden in their data now have an easier path to get there thanks to the new data science library unveiled today by ...

Knowledge graphs are well-suited to organizations with large data sets and where extracting knowledge often proves burdensome.