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AI and Knowledge Management: How KM Will Transform the Capture, Curation and Retrieval of Knowledge

By: Daniel W. Rasmus for Serious Insights

As a complement to my long reflection on KMWorld 2023, I offer this more practical set of insights on specific ways KM will likely evolve with AI integrated into KM solutions, used to analyze data and prepare it for learning, and offer complementary structures for knowledge representation. This is an initial pass at the most important components of knowledge management—the notes on changes will be updated as more evidence becomes available from research and client interactions.
 

More on AI and Knowledge Management: Summarization, knowledge organization and too much AI

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AI will also support general horizontal applications, such as content summarization, that can be applied to codified knowledge. It may significantly influence areas like knowledge organization, making it more granular and specific but potentially more abstract and less transparent. If, on balance, the retrieval of knowledge improves in quality, how the knowledge is organized may no longer matter, impacting disciplines like taxonomy and tagging.

Organizations will likely find AI-based knowledge management options coming from multiple directions: within enterprise apps, as standalone options, within KM-specific applications, and through public tools like browsers and “AI” sites. Enterprises will likely face feature duplication and overlap. As organizations roll out AI-based KM solutions, they must rationalize their architectures to optimize KM features. Unlike collaboration, which can confuse people with where to collaborate, reducing productivity, too many AI responses can lead to confusion about the best answer among multiple responses.

KM disciplines will also prove valuable to organizations building their own AI models, as the management of the models will become a new form of represented knowledge that needs to be managed…

To read more about KM and AI, check out: AI and Knowledge Management: How KM Will Transform the Capture, Curation and Retrieval of Knowledge

 Also, to learn more about the KMWorld 2023 conference and Rasmus' takeaways, visit: Reflections on KMWorld 2023: How Will AI Change Knowledge Management?

Daniel W. Rasmus, the author of Listening to the Future, is a strategist and industry analyst who has helped clients put their future in context. Rasmus uses scenarios to analyze trends in society, technology, economics, the environment, and politics in order to discover implications used to develop and refine products, services and experiences. He leverages this work and methodology for content development, workshops and for professional development.

Interested in AI? Daniel W. Rasmus is a member of the Advisory Board for our AI Impact 2024 event! Check out what Daniel, the rest of the Board and TechTalk Summits has up our sleeves for this groundbreaking AI experience.