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Most knowledge managers didn’t get into this field to become AI experts. They got into it because they care about how organizations learn, how expertise flows, and how knowledge gets preserved and used rather than lost. Now, barely a conversation about KM strategy goes by without large language models entering the room, sometimes as a … Read more
Many organizations are investing heavily in AI, expecting immediate gains in productivity, decision-making, and automation. Yet the results often fall short. The issue is rarely the algorithm. It is the knowledge behind it. Knowledge management for AI is the real differentiator between systems that deliver value and those that produce unreliable, inconsistent outputs. AI does … Read more
Knowledge capture has been the stubborn problem at the center of knowledge management for decades. Organizations invest heavily in frameworks, workshops, and KM platforms, and then watch critical knowledge disappear when a senior engineer retires, a project team disbands, or an expert moves on. The process of getting knowledge out of people’s heads and into … Read more
Knowledge management best practices 2026 are no longer about building a document library and hoping people use it. Enterprises now need knowledge systems that are governed, searchable, measurable, and tightly aligned with business priorities. ISO 30401 frames knowledge management as a management system that must be established, implemented, maintained, reviewed, and improved, while APQC’s framework … Read more
Knowledge management in healthcare is often described in abstract terms, but the real value becomes clear when it is applied inside hospitals, clinics, health systems, and administrative teams. In practice, knowledge management in healthcare is not just about storing policies or maintaining documents. It is about making sure the right knowledge reaches the right person … Read more