If there’s one thing that characterizes the Information Age that we find ourselves in today, it is streams of data. However, ...

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

Unlike traditional databases, knowledge graphs organize information as nodes and edges, making them better for AI systems that reason & infer.

Graph technology is allowing pharma to model data in a way that offers invaluable insights for marketing, R&D and compliance teams alike. Google, Facebook and LinkedIn are among those utilising ...

As a CHRO or Chief Learning Officer, there are things you wish you had, but likely don't: a fast way to find internal experts, a simple method to extract ...

Context engineering—the art of shaping the data, metadata, and relationships that feed AI—may become the most critical ...

Pure Storage, the IT pioneer that delivers the world's most advanced data storage technology and services, is introducing Enterprise Data Cloud (EDC), a new standard in data and storage management ...

In graphs, keyword search techniques unravel interconnected data points, often representing relationships in social networks, bibliographic databases or web documents.

Adarsha Kuthuru's governance model represents a significant stride in bringing AI ethics into the core of database infrastructure.

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...