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

How AI-driven personalization, knowledge graphs and a two-sided marketplace are creating a new business model for the 75-year-old retailer.

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 ...

NoSQL database systems such as Key-Value, Column Family, Graph, and Document databases, are gaining acceptance due to their ability to handle unstructured and semi-structured data. MultiValue, ...

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

Modern archiving relocates inactive files to lower-cost storage platforms, reducing primary storage capacity requirements and ...

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 ...

Pure’s Enterprise Data Cloud represents a tangible shift in how enterprises manage data and represents real change at the ...

GraphRAG is a retrieval method that uses knowledge graphs to store and manage structured data, ... entities and relationships from unstructured text and populate a graph database like Neo4j.

We talk to Pure Storage’s vice-president of AI infrastructure about data quality for artificial intelligence and the need for data engineering to ensure the integrity, completeness and appropriateness ...