In the new knowledge-based digital world, encoding and making use of business and operational knowledge is the key to making progress and staying competitive. Here's a shortlist of technologies ...

Neo4j also trumpeted the value of graphs as vector databases used in generative artificial intelligence. AI training requires ...

Jim Morris, solution engineer, Progress, and Stephen Reed, senior account manager, Progress, joined DBTA's webinar, Building Knowledge Graphs to Power Your AI Initiatives, to examine how knowledge ...

Siren promises the benefits of knowledge graphs, without the hassle of reinventing your existing data management and infrastructure ...

Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

When enhanced by the rich, self-describing nature of semantic knowledge graphs, data mesh and data fabric can greatly complement one another.

Ever since the introduction of the Google Knowledge Graph, a growing number of organizations have adopted this powerful technology to drive efficiency and effectiveness in their data management ...

Infinigraph is a new distributed graph architecture that allows Neo4j’s database to run operational and analytical workloads ...

Neo4j®, the leading graph database and analytics platform, today unveiled Infinigraph: a new distributed graph architecture now available in Neo4j’s self-manage ...

Network graphs, now growing in popularity, are designed to help us see connections, capturing the interplay between many dimensions.

The bottom line is that “graph databases are a type of NoSQL database that stores data as a network of interconnected nodes and edges,” Nadkarni explained. “They manage complex relationships between ...