Firms that fail to shine light on their dark data risk ceding the high ground in insights and inviting risk exposures lurking ...

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

Context, not content, now drives AI visibility, making structured data the strategic data layer every enterprise must ...

The chatbot leverages Stardog’s pioneering knowledge graph platform, which is a flexible and reusable data layer that can ...

Graph database fave also punts for transactional workloads Neo4j has introduced "property sharding" which, according to one ...

In today's era of information explosion, efficiently extracting valuable knowledge from vast amounts of data has become a significant challenge faced by both enterprises and individuals. On September ...

The enterprise knowledge graph is a knowledge representation system based on graph structures. It integrates multi-source data from both internal and external sources (such as business information, ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

In August 2024, DevRev raised $100.8 million in its Series A led by Khosla Ventures, Mayfield Fund, and Pandey’s own Param Hansa Values — propelling it into unicorn status at a $1.15 billion valuation ...

New architecture fuses real-time transactions and analytics in one platform, with breakthrough performance and full fidelity at unprecedented scale ...

Enterprise search startup Glean has attracted customers and venture capital thanks to an AI search tool that lets employees ...