Why Your AI Keeps Getting It Wrong (And What Actually Fixes It)
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 Blog
Insights, tutorials, and updates from the Data Graphs team on knowledge graphs, agentic AI, and enterprise data architecture.
Donna Esfandiary 
What is an information backbone? A plain-language definition for operational leaders
Written for organizations that already have systems, already have data, and are still asking why none of it feels reliable.
Matt Shearer 
Why AI needs a governed information backbone - not just better prompts
In regulated and high-trust environments, AI reliability isn't a model problem. It's a foundation problem.
Matt Shearer 
Machine-readable information architecture is better for your people too
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 
What does "machine-readable" really mean for digital product labels?
Why the shift to machine readability is a meaning problem, not a format problem - and what it demands from your organization.
Matt Shearer 
Vector finds similar. Graph finds true.
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 
How Multi-Modal Knowledge Graphs Are Transforming Sports Media
An AI-powered multimodal knowledge graph unifies video, sports data, and AI to turn all your sports media into an intelligent, explorable hub—enabling faster...
Paul Wilton 
Contextual Data Rendering in Multimodal Knowledge Graphs
Data Graphs' new contextually rendered data views change the way we navigate and view data in multimodal knowledge graphs.
Paul Wilton 
What makes the perfect Agentic AI-ready Knowledge Graph?
One that exposes a well-modeled, cohesive schema or ontology in a machine-readable, easy-to-consume format. This article explains why, and outlines the other...
Paul Wilton 
Ripe for Modeling: Exploring Wine Classification with Data Graphs Part 2
Using Data Graphs Domain Model and Graph Search to create and explore a knowledge graph of wines
Charlie Furniss 
Ripe for AI: Exploring Wine Classification with Data Graphs Part 1
Using Data Graphs GraphRAG AI to analyze and explore a knowledge graph of wines
Charlie Furniss 
GraphRAG AI in Data Graphs
Patterns in GraphRAG and delving into the capabilities of Data Graphs AI and its architecture.
Paul Wilton