KM and AI: An Overview of Opportunities and ChallengesRegister for the live expert session →

How Knowledge Flows in Organizations: Channels, Friction Points and Flow Design

IDC research has found that knowledge workers spend approximately 30% of their working day searching for information or recreating work that already exists somewhere else in their organization. The lost productivity is significant. The more revealing problem is structural: the knowledge existed. The organization simply could not move it to the person who needed it … Read more

Why Knowledge Management Fails: 7 Specific Reasons Most Organizations Miss

Somewhere between 70% and 80% of knowledge management initiatives fail to meet their original objectives. Gartner has tracked this figure across enterprise technology implementations for years, and the KM field has not improved meaningfully on it despite decades of accumulated experience, billions invested in platforms, and growing executive awareness that knowledge is a strategic asset. … Read more

Systems Thinking in Knowledge Management: Why It Changes Everything About How KM Works

In 1994, Pratt-Whitney Rocketdyne — a major aerospace engineering organization — launched a knowledge management initiative to address a problem that was threatening its operational future. With 50% of its engineering workforce approaching retirement age, the company faced the loss of decades of irreplaceable technical expertise. The KM program was implemented. Tools were deployed. Processes … Read more

Top 15 Knowledge Management Books to Read in 2026

What Are the Best Knowledge Management Books to Read in 2026? The best knowledge management books to read in 2026 span four core areas: foundational KM theory, organizational implementation, social and cultural dimensions of knowledge, and the intersection of KM with artificial intelligence. This curated list of 15 KM books covers all four areas and … Read more

AI Knowledge Assistants: Implementation Roadmap Without the Hallucination Risk

The contemporary enterprise stands at a precipice of transformation and vulnerability. Large language models—systems capable of generating fluent, contextually appropriate prose across virtually any domain—have moved from research curiosities to boardroom imperatives with unprecedented velocity. For knowledge management professionals, this technological inflection presents both existential opportunity and profound risk. The opportunity lies in finally realizing … Read more