AI Content Management
Measuring the Value of an AI CMS
The question arrives eventually, usually from whoever approved the budget: is this working? It is a fair question and most organizations cannot answer it — not because the platform failed, but because nothing was measure...
AI CMS Implementation Challenges
The sequence for doing this well is set out in how to implement an AI-powered CMS. This article is the other half: what goes wrong, why it goes wrong, and — the part usually missing — how to notice early enough to act.
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AI CMS Cost and Budget Considerations
Cost is the question that arrives first and is answered last, usually because the honest answer before an assessment is a wide range with a lot of conditions attached. This article gives the structure behind that range: ...
AI CMS Use Cases for Small and Midsize Businesses
Most writing about AI content management assumes an enterprise: a content team, a taxonomist, a budget line that survives a bad quarter. Smaller organizations read it, recognise none of their constraints, and reasonably ...
Security and Privacy for AI-Powered CMS Platforms
A conventional content management system has a reasonably contained security problem: authenticate users, authorise what they may read and edit, keep the software patched. An AI content platform keeps all of that and add...
AI Content Quality Assurance
Quality assurance for AI-assisted content is frequently reduced to a single question — is it accurate? — which is both the most important criterion and the least tractable one. Accuracy cannot be checked without knowing ...
Human-in-the-Loop AI for Content Management
"Human-in-the-loop" is offered so routinely as reassurance that it has almost stopped meaning anything. It is presented as a property an AI system either has or lacks, when it is really a set of design decisions: which s...
AI Content Governance
Most organizations discover they need AI content governance at an awkward moment: something inaccurate was published, or a regulator asked a question, or someone noticed that a widely-circulated document had no identifia...
AI Content Lifecycle Management
Most content management attention goes to getting something published. The lifecycle is everything that happens before and, more importantly, everything that happens after — and it is where large content libraries ...
AI Content Classification
Classification is the act of deciding which of your existing categories a piece of content belongs to. It is a different operation from writing a description: the system is not producing new text, it is making a choice f...