Insights, tutorials, and updates from the Data Graphs team on knowledge graphs, agentic AI, and enterprise data architecture.
A knowledge graph turns a competition's data into something AI can reason over, not just summarize. See how Data Graphs modeled the entire FIFA World Cup 2026,...
Paul Wilton Why deep graph traversal breaks most engines. How Data Graphs runs deep queries orders of magnitude faster than Neo4j, in a fraction of the memory, and with...
Paul Wilton
Steve Liles In high-trust environments where information evolves constantly, measuring AI accuracy is not enough. A governed information backbone is what makes AI systems...
Matt Shearer AI-powered video intelligence is no longer reserved for organizations with Netflix's engineering resources. Here is how Bitmovin and Data Graphs make it a...
Donna Esfandiary Governed, shared reference data is the stable vocabulary your information backbone speaks in. Without it, every system upstream and downstream (yes - including...
Matt Shearer Why the true cost of building a governed information backbone for a high-trust environment is almost always underestimated - and what that means for your build...
Matt Shearer Most AI systems get answers wrong because they lack context and cannot reliably connect the dots between data points. Structuring relationships between data...
Donna Esfandiary Written for organizations that already have systems, already have data, and are still unable to get immediate answers to their crucial business questions.
Matt Shearer In regulated and high-trust environments, AI reliability is a foundation problem.
Matt Shearer Why better information architecture improves the experience of the humans in your operation - and why that makes the business case stronger, not weaker.
Matt Shearer Why the shift to machine readability is a meaning problem, not a format problem - and what it demands from your organization.
Matt Shearer Vector search finds what's similar, Knowledge Graphs find what's true. The most powerful private-data AI systems know when to use each.
Paul Wilton 
