The Rise of GQL: A New ISO Standard in Graph Query Language
The Rise of GQL: A New ISO Standard in Graph Query Language We're thrilled to celebrate a significant milestone in the world of database technology: the publication of the first…
Understanding Graph Embeddings
A sample of customer data in a knowledge graph and the embedding vector attached to the graph. by Dan McCreary, Head of AI at TigerGraphGraph embeddings have become increasingly important…
Enhanced Data Analytics: Integrating NVIDIA Rapids cuGraph with TigerGraph
In the rapidly evolving landscape of data analytics and artificial intelligence (AI), the recent talk by Dan McCreary, Head of AI at TigerGraph, at the NVIDIA GTC event stands out…
5 Reasons Why You Can’t Miss Graph +AI Summit 2024
As the Head of Marketing at TigerGraph, I'm thrilled to extend a warm invitation to all enthusiasts, professionals, and curious minds to join us at the upcoming Graph + AI…
The Jellyfish and the Flatworm: a Story About AI Strategy
Many executives are pondering difficult decisions about making large investments in AI. For many of them, their lack of a technical background makes it difficult for them to visualize the…
The Connected Customer: Building the Foundation with TigerGraph
In the rapidly evolving world of customer-facing businesses, providing an exceptional omnichannel customer experience has become the key to success. As online retail sales have soared over the last decade,…
Learn the basics of graph database technology, including what it is and how other companies use it
Graph Databases 101: Your Top 5 Questions with Non-Technical Answers
The world has always been built around connections, but the world today is more hyper-connected than ever before. Tapping into the power of these rich, growing networks – whether that…
