While AI holds the promise of radically transforming KM, human oversight takes on intensified responsibilities for ensuring the knowledge provided is accurate, timely, and relevant as well as guarding against violations of privacy and proactively securing sensitive data.Value is the key to adopting any technology, and AI tools are no different. AI-enabled KM provides opportunities for KM to shine and for knowledge managers to prove their value to their organizations.
Marydee Ojala //
06 Jul 2026
IT plays a role in providing a port of entry for customer service solutions and for integrating them with the various repositories that form the knowledgebase. After that point, most KM solutions can be configured and managed by subject matter experts. But the infrastructure on which they are built, whether SaaS or on-prem, must provide the capacity and speed required to deliver their potential.
Judith Lamont, Ph.D. //
11 May 2026
Companies on this list are wonderful examples of how their products expand the power of KM in changing knowledge environments. They stand out in the KM field, and we applaud their accomplishments. As always, the list is meant to generate interest and to spark discussion. Let us know what you think, and alert us to anything we might have missed.
Marydee Ojala //
09 Mar 2026
Designed for unstructured content, EncompaaS discovers, classifies, and enriches information across Microsoft 365, legacy ECM systems, and file shares—without migration. It automates governance, applies retention and sensitivity policies, and enriches metadata to improve GenAI outcomes.
08 Sep 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
AI continues to disrupt the knowledge management space and experts in the field predict that it's a trend that still hasn't reached its full potential, yet. In 2025 there's more room for improvement.
Stephanie Simone //
06 Dec 2024