Knowledge Management with Tagging

Nearing the eve of the next Knowledge Management world, looking back on last year's edition of the KMWorld conference - new friends, refreshed acquaintances, inspired knowledge sharing packed into four immersive days of understanding, realizing why so many senior people across all industry make this annual pilgrimage - how best to manage the volume of content each organization amasses.

There was an underlying theme. It's one thing to put into place a Content / Document / Knowledge Management System, it's another whole different knowledge world to understand what the content is that each organization is trying to manage. In other words, how do you manage something if you don't know what it is? We ask ourselves to appropriately describe the content we save, but how does that really work in real life when we're in the pressure of the moment?

Almost every technology conversation engaged during KMWorld included discussion of... "how do I manage this massive elephant in our organization?" (one byte at a time - would be the first response jokingly) Using one of the proficient solutions being presented on the Exhibit floor, yes - but really the question being asked was, "I don't know what all of these documents are, how the knowledge flowing in daily relates to other content, if at all. What relevance does all of this unstructured data have to our enterprise objectives today? These were questions many conference goers were / are grappling with.

How do you make sense of volumes of unstructured data so it can be managed appropriately without imposing an undue burden in the process? Tagging. Automated Content Tagging. Once a content file has been appropriately tagged with its own set of contextually accurate and relevant tags - then you can start to understand how to manage that knowledge. The ability to understand where those relationships belong and the impact they make (or not) on current enterprise goals.

Similar to fine-tuning LLM's, an appropriately tagged unstructured content file now becomes structured with specific purpose in relation to all other content being managed. Tagged data becomes optimized in context and with relevance giving the content / document / knowledge management systems the benefit of fine-tuned inputs for truly exacting results.

What's the solution for tagging unstructured data? xAIgent and Doc-Tags. See more at xAIgent.net

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