Enterprises need humans to build and own a core layer of knowledge: specialized vocabularies, relationships between terms, policies, and definitions. AI can scale context extraction around this foundation, but only humans can create and validate the conceptual models that capture enterprise-specific nuance.
Chapters
unique ways of dealing with some parts of your business that do not come from industry standard models or, you know, standard documentation or your ERP documentation or anything, or even the data. That there will be this kind of hardcore of vocabularies, of relationships between terms, of policies, rules, you know, definitions for this and that, that need to be kind of curated and possibly even completely captured by humans. And around that, it is then more safe to kind of, you know, add all sorts of context by harvesting it automatically, which cannot be done. I mean, at an enterprise scale, I do not believe it is possible for human beings to create that context. That's right as well. So there has to be some sort of AI-assisted, you know, whatever context harvesting mechanism in place. But at the core of that, I think there has to be something that humans need to verify, need to agree upon. And that is where we need people like you and me. Working on the conceptual models, which are not the only way to do that, but they are very, very good method, a method of capturing that sort of information.
