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
Will there every be an actual end to information overload? After all, it's been long-standing complaint and only seems to be intensifying. Relief, in the form of surfacing only relevant information, customizing summarization, aligning curation and automation with business goals, and instating visualization, lies ahead.
Jelani Harper //
06 Jul 2026
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 most powerful multistep execution isn't a chain of specialized agents. It's a single model with enough context to plan, execute, and recover—informed by everything it's learned from every prior execution.
Avi Cavale //
11 May 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 truly unlock the business growth capabilities of data and AI, strategy must be grounded in diversity and aligned with an organization's values. When inclusive data is supported by ethical, diverse teams and a culture of accountability, the result is not just smarter business, but also meaningful impact for society as a whole.
Jason Foster and Barry Green //
08 Sep 2025
The real error of the expert system era was not determinism itself—it was incomplete rules. Today's risk is the opposite: We have agents that are too flexible, running on too little accountability, deployed into environments where variation is not a feature but a liability.
Alan Pelz-Sharpe //
06 Jul 2026
The AI world is advancing at a breathtaking pace with staggering sums of money, but it's built on unstable and illusory foundations. Our role is not to stand on the sidelines shouting warnings. It is to quietly, strategically, and indispensably become the people they cannot do without—the ones who ensure the entire system can actually function.
Alan Pelz-Sharpe //
09 Mar 2026
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
Many long-standing technologies such as swarm intelligence, biomimicry, neural networks, and the like are now being stitched together. Think of what could happen if each of those technologies interacted not only with each other but also with the environment at large, its living and artificial elements, as an integrated whole.
Art Murray, D.Sc. //
08 Sep 2025