TigerGraph is releasing an updated version of its signature platform, combining graph pattern matching with real-time deep link analytics -- a unique mix ideal for fraud and money laundering detection ...

Graph querying of data housed in massive data lakes and data warehouses has been part of the big data and analytics scene for many years, but it hasn’t always been a particularly easy process.

California advances AI safety with SB 53, requiring transparency and risk reporting. Anthropic backs the bill, calling it a “trust but verify” approach. AI-driven automation is the theme of this ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Graph databases are playing a growing role in improving fraud detection, ...

Neo4j is both the original graph database and the continued leader in the graph database market. Designed to store entities and relationships, and optimized to perform graph operations such as ...