KM is about people and their ability to capture, organize, share, and make actionable knowledge. KM relies on technologies that can enable this core mission. Congratulations to the KMWorld Readers' Choice Award winners, and many thanks to all of you who submitted nominations and took the time to vote.
Marydee Ojala //
10 Nov 2025
While our Readers' Choice Awards honor the top companies in each of the categories, we've expanded this year's coverage to include a supplementary list we're calling the Leader Group that showcases the broader landscape of exceptional KM solutions available to organizations today. So much excellent work is being done, and done quickly, given the rapid changes in technology.
10 Nov 2025
Organizations that implement foundational technologies, such as taxonomy and auto-tagging content, will see significantly better success rates. With AI adoption failure rates ranging from 50% to 95%, it makes sense to take the time to lay a solid foundation first.
Heather Kotula //
10 Nov 2025
Where others generate content, we verify, cite, and continuously improve it—so answers are trusted, not just fast. This is what makes Bloomfire agentic AI in practice: intelligence that doesn't just respond, but takes action to govern, heal, and surface knowledge in ways that drive measurable outcomes.
10 Nov 2025
Judith Lamont, Ph.D. //
19 Dec 2025
This next year will see the knowledge management function take a direction that focuses on a more advanced and mature way of leveraging AI
Carlos García-Egocheaga, CEO, Lexsoft Systems //
08 Dec 2025
AI continues to be the topic du jour for various aspects of knowledge management, and 2026 looks to be no exception as leaders in the industry look ahead
Stephanie Simone //
01 Dec 2025
By eliminating data silos, semantic AI enriches customer data and content and enables greater knowledge discovery across an organization. Due to its diverse capabilities, such as text mining, tagging, semantic search, etc., it can be implemented along the whole data and content lifecycle in order to develop intelligent applications. When integrated with an organization's CMS, semantic AI can help individuals get the information they need sooner.
Andreas Blumauer //
10 Nov 2025
A machine-learning large language model doesn't have tacit knowledge. It consists of potential knowledge.
David Weinberger //
19 Dec 2025
Data and knowledge do not, anymore, exist as separate components. They are rapidly merging into a single architecture. As KM'ers, we can no longer leave data management solely up to the admins. Rather, we need to work closely with them on creating data architectures that are contextually and semantically rich enough to be reliably actionable for use by autonomous and semi-autonomous agents.
Art Murray, D.Sc. //
19 Dec 2025
The advances in AI and information management are not our enemies; they are our most powerful allies. When wielded by skilled KM professionals, these technologies work. When deployed without our input, they fail miserably, delivering incorrect, misleading, or plain nonsensical results.
Alan Pelz-Sharpe //
19 Dec 2025
There should be one clear group of winners emerging from the coming disillusionment: knowledge and information managers. The AI reckoning will force a long-overdue epiphany upon executive leadership: The value of technology is not inherent; it is contingent on the quality of the information fuel you feed it.
Alan Pelz-Sharpe //
10 Nov 2025
How ENOVIA + Adlib turn CAD, BOMs, and SOPs into reliable knowledge for search, RAG, and compliance
02 Sep 2025
Discover how Veeva + Adlib eliminate content bottlenecks, accelerate approvals, and make your launches AI-ready.
26 Aug 2025