In this article, I explain why the first app built on a knowledge graph should be an enterprise data catalog. I then clarify why any catalog equipped to grow, scale, and evolve with the modern data ...

In recent years, as the application of large models in knowledge Q&A deepens, Graph Retrieval Enhancement Generation (GraphRAG) has gradually become an important approach to solving complex problems.

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 ...

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

This may come as a shock if you've first encountered knowledge graphs in Gartner's hype cycles and trends, or in the extensive coverage they are getting lately. But here it is: Knowledge graph ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More This post is by Dr. Mukta Paliwal, senior data scientist at Persistent ...

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

Like the core algorithm, Google’s Knowledge Graph periodically updates. But little has been known about how, when, and what it means — until now. I believe these updates consist of three things: ...

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 ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now One of NASA’s biggest challenges is ...