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 Information Architecture
17 articles
Information Architecture (IA) is the practice of organizing and structuring information so that it can be easily found, used, and understood, and is a key aspect of delivering data driven products.
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 
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 
Knowledge Graph Visualization in Data Graphs
New data visualisations in Data Graphs lets you view your domain model and explore your knowledge graph visually.
Paul Wilton 
Data Graphs - Fully Managed Knowledge Graphs
Introducing Data Graphs - a fully managed SaaS structured data solution, that combines an intuitive user experience with flexible integration.
Paul Wilton 
Getting the most from your Sports Data
Guest blogger Jim Howard shares his experiences in Sports publishing patterns, and how to extract most value from your sports data.
Jim Howard 
PICO, Cochrane and Schema.org
How Cochrane are marking up COVID-19 clinical studies with Schema.org and PICO structured data.
Paul Wilton 
How knowledge graph technology is helping Cochrane respond to COVID-19
A knowledge graph case study on the data architecture of the Cochrane COVID-19 Study Register and the Cochrane Linked Data Project.
Paul Wilton 
GraphQL and Graph Databases
A discussion on the synergies between GraphQL and Graph Databases, data architecture and how ontology models provide the special ingredients.
Paul Wilton 
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 
Why the web turned its back on the librarians. And why we need them back.
An introductory guide to tagging, Part 1. Examining how developments in search technology created the perception that good information management practices...
Silver Oliver