Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

Neo4j®, the world's leading graph database and analytics company, announced the launch of Neo4j Aura Graph Analytics, a new serverless offering that for the first time can be used seamlessly with ...

The Bulgarian graph database startup Graphwise today announced a major upgrade to its flagship GraphDB tool, adding new features aimed at boosting enterprise knowledge management and creating a more ...

Investors need a new framework for evaluating opportunities in the emerging Intelligence Economy ("Intellinomics"). Semantic ...

Understand the building blocks of knowledge graphs – entities, relationships and attributes – and how they relate to information retrieval.

With knowledge graphs as the backbone, he’s setting the stage for AI that doesn’t just keep up but leads, handing businesses a crystal-clear edge in a data-drenched future.

As data complexity continues to grow and the demand for real-time insights increases, the move away from traditional relational databases and towards the adoption of graph databases will become vital.