Graph data is hundreds of years old while graph data technology is new. Ten years ago, nobody talked about graph databases. The IT team had no problem in learning how to use it.

Several use cases for scene graphs are already being explored or deployed for military or other government needs. One example is situational awareness. Let’s say an agency uses video cameras to ...

Future proof and agent-ready – Built on an open, ISO-backed standard, GQL lays the foundation not just for current insights ...

Blockchain technology applications in healthcare. This article will explore how blockchain technology applications have been driving value across the healthcare industry. Read here. Modelling the ...

Here are three key qualities of graph technology that make it a powerful tool for investigating misinformation, fraud, and scams: Recognizing relationships in data .

A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

Imagine using artificial intelligence to compare two seemingly unrelated creations—biological tissue and Beethoven's "Symphony No. 9." At first glance, a living system and a musical masterpiece ...

This confluence of graph analytics, graph databases, graph data science, machine learning, and knowledge graphs is what makes graph a foundational technology. It’s what’s driving use cases and ...

Read more about database technology in APAC. Neo4j is partnering with consulting firm Deloitte to meet the demand for graph technology on the back of its growing business in the ASEAN region ...

This is why I believe graph technology will expand so much in 2016 – it’s compelling and you can add data without having to do a lot of modeling in advance, going beyond what’s possible in ...

Simultaneously, these innovations lower adoption barriers for graph technology and GraphRAG for gen AI, enabling organizations to push the envelope on what’s possible for their data and their ...