8 Artikel
The governed, machine-readable foundation where meaning is defined once and shared across every enterprise system, partner integration, AI service, and report.
An information backbone is the structural foundation of an organization's information architecture - where entities, relationships, classifications, and reference data are defined explicitly, governed centrally, and made available to every downstream consumer. It is the foundation that makes data trustworthy, and entirely machine-readable.
It helps organizations deliver efficient and nimble products, supports rapid change, and is the basis for innovating with trustworthy AI systems.
Gartner says context is the brain for AI and semantic foundations are non-negotiable. Here is what a real one looks like - the disciplines you bring, and the...
Matt Shearer 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 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 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 
