{"id":12919,"date":"2026-05-14T03:52:49","date_gmt":"2026-05-14T03:52:49","guid":{"rendered":"https:\/\/wildgreenquest.com\/?p=12919"},"modified":"2026-05-14T03:52:49","modified_gmt":"2026-05-14T03:52:49","slug":"knowledge-management-the-tech-worlds-step-child-may-be-ais-salvation","status":"publish","type":"post","link":"https:\/\/wildgreenquest.com\/?p=12919","title":{"rendered":"Knowledge Management, The Tech World\u2019s Step Child, May Be AI\u2019s Salvation"},"content":{"rendered":"


\n<\/p>\n

\n
\n
<\/picture><\/div>\n
\n
\n

Knowledge management: the foundation <\/span><\/p>\n

getty<\/small><\/div>\n<\/div>\n<\/figure>\n

Knowledge management has long been one of those fuzzily-defined areas of the business that is essential, often with a foot in information technology and a foot in business management, but never really in the spotlight of either. Its proponents and overseers represent a range of job roles, from librarians to content management systems specialists to knowledge managers by title. <\/p>\n

These professionals handle documents such as software documentation, user manuals, repair guides, contracts, and much more. But, think about it: data scientists are the hot job for today\u2019s economy, but what do we hear about \u201ccontent scientists?\u201d<\/p>\n

In an era when unstructured data — content — is seen as the most critical fuel for the artificial era ahead, it\u2019s time knowledge management had a seat at the table.<\/p>\n

Yes, AI can boost knowledge management itself to new levels, helping to automatically capture and analyze unstructured information from across the enterprise. But knowledge management needs to be a key piece of overall AI strategy as well.<\/p>\n

\u201cAI is only as powerful as the knowledge it\u2019s built on, said<\/a> Vele Galovski, vice president of TSIA. “Even the most advanced AI tools can fall short without a strong knowledge management foundation.\u201d<\/p>\n

Foundation is a key word here, and that view has been reinforced in a recent analysis<\/a> of enterprise intelligence systems, published by Bloomfire. Part of the challenge with AI that it\u2019s proliferation is divided between three separate technology categories \u2013 knowledge management, enterprise search, and business intelligence, the study\u2019s author, Anthony J. Rhem, PhD, points out. “Knowledge management platforms captures what people know, enterprise search helps them find it, and business intelligence systems makes sense of the numbers. Each was built to solve a different problem, governed by a different team, and measured against a different set of outcomes. The assumption that they\u2019d converge into something coherent on their own was never realistic.”<\/p>\n

This disconnect is resulting in off-kilter AI initiatives. \u201cMost enterprise AI is underperforming, and the cause is rarely the underlying language models,\u201d Rhem states. \u201cOrganizations are turning to countless software tools to break through and achieve the return on their AI investments, but are often left wanting.”<\/p>\n

The best approach for well-rounded AI is a to seek a fusion, or tight integration between knowledge management and IT areas \u2013 not easily done, as these represent separate roles or departments, but desperately needed. \u201cThe primary risk zone comes from a failure to appropriately embed the knowledge foundation with a data and AI backbone,\u201d says Rhem.<\/p>\n

The result of such disconnect? More than half of employees bypassed their company\u2019s AI tools in the past 30 days, completing work manually instead, the Bloomfire study suggests. While AI budgets have been increasing a clip of 38% a year, 40% of that spend is underperforming, executives said. Three in four executives even admit their AI strategy is \u201cmore for show than substance,\u201d the study states. <\/p>\n

Bloomfire\u2019s own analysis of its content showed 31 concepts explored, with zero documents that actually define them. “Ten documents referenced it, but none explained it.”<\/p>\n

What\u2019s at issue? Rhem outlines how and where organizations are missing the boat:<\/p>\n