The impact of AI on both data silos and knowledge hubs is proving to be powerful in solving some age-old problems, including curtailing the effects of siloed information while increasing the value of knowledge hubs. It can only become more impactful going forward.
Jelani Harper //
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
The pervasiveness of advanced ML models, as well as their effectiveness for increasing productivity, has multiplied the difficulty in securing internal knowledge. Organizations cannot afford to forsake the staples of data access governance,which include data discovery, data classification, access control policy authoring and implementation, monitoringand auditing for regulatory compliance, data privacy, and data security.
Jelani Harper //
09 Mar 2026
AI's impact on KM strategy is omnipresent and includes recognizing its potential, particularly for enhancing existing knowledgebases and automating existing processes, while acknowledging the critical role of accurate, clean data to which organizations have access. Consider it a two-way street when setting organizational strategies.
Judith Lamont, Ph.D. //
09 Mar 2026
Agentic AI marks a shift from passively recording business activity to actively driving it. Those who embrace this shift early will do more than automate tasks—they'll build a trusted, intelligent infrastructure that accelerates not only efficiency but also agility, strategy, and scale.
Sameer Gulati //
09 Mar 2026
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
To secure their data, certain industries have strict regulations regarding data storage, requiring data to be kept in specific geographic locations or under stringent security measures. This is yet another reason for organizations nowadays to switch back to on-prem resources.
Matthias Gromann //
06 Jan 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
The tech industry has a long history of overpromising and underdelivering, but AI has taken this to new heights. We're bombarded daily with headlines about AI writing novels, diagnosing diseases, and even replacing entire job functions. Yet, when you peel back the layers, you find a landscape littered with half-baked implementations, inflated claims, and solutions that work only in the most controlled environments.
Alan Pelz-Sharpe //
08 Sep 2025