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 AI
10 articles
AI is a core discipline at Data Language, with an expert team skilled in machine learning, deep learning, LLMs, and scalable Production AI engineering.
Matt Shearer 
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 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 
The surge of LLM models and their impact on Tagmatic
Large Language Models are not displacing advanced specialist models (yet) .
Fabio Colasanti 
The BOTT Framework for Practical Data Ethics
BOTT is a data ethics framework for the practical assessment of AI and predictive analytics models within their ecosystems.
Paul Wilton 
We need to talk about AI
It is paramount we have proper discussions around AI and its social impact. Shutting down the argument and dismissing it as snake oil is not the best way...
Fabio Colasanti 
Benchmarking Tagmatic
Tagmatic goes head to head with a number of standard multi-label classification implementations. The result: don't build, buy.
Fabio Colasanti 
Current impacts of AI on Technology Delivery
A discussion of AI and Data Science delivery anti-patterns, their impacts on data platform technical architectures, and strategies for reducing complexity and...
Julian Everett 
Data Science is about building software
For Data Science to truly live up to expectations, it must embrace software craftsmanship.
Fabio Colasanti