AI’s Impact on Data Silos and Knowledge Hubs

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.

KM and IT Find Collaboration Productive

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.

KMWorld 100 Companies That Matter in Knowledge Management 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.

Securing Your Internal Knowledge Amidst Shadow AI

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.

You Don’t Need 47 Agents

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.

Leaders predict AI to continue permeating all aspects of KM in 2026

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

How Semantic AI & Knowledge Graphs Can Turn M365 Environments Into a Smart Knowledge Hub

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.

Navigating the IT Landscape: Balancing Hybrid Cloud and Cloud Repatriation to Stay in Control of Your Infrastructure

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.

A Glorious Victory for KM!

That AI has proven itself to be a revolutionary knowledge tool paints a different picture of the world itself. For millennia, we in the West counted as the highest knowledge the bedrock beliefs that ground the certainty of the layers of lesser knowledge that rest upon them. While the success of our culture proves the value of this approach in some critical areas, the rapid advances in knowledge enabled by machine learning based in multidimensional models that are too complex for us to understand remind us of what we've always already known:Our world overwhelms our smidgeon of consciousness. And there's no shame in acknowledging that. In fact, it is genuinely liberating to embrace the fact that the world consists of particulars in infinite relationships, and that we pay a price when we sand down the distinctive differences among them.

Why Knowledge Management Needs a Quantum Reboot for the Agentic AI Age

By embracing a quantum approach, we can create an organization that is genuinely adaptive and intelligent. Agents, freed from the shackles of classical KM, can roam our knowledge graphs, identifying emergent patterns and unexpected connections that no human ever could. They can see that the support ticket trend and the new feature request in the sales call are actually the same particle, just observed in different contexts.

A Call to Arms for Information Professionals

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.

Humans in Loops, Flows, and Dialogues

I think we are entering—possibly are already in—the era of humans in the dialogue with AI, discovering our values, getting more specific about them, and altering their applications based on the specifics of our world and situation. If the old KM was about building, organizing, sharing, and leveraging knowledge, the new KM might also be about mastering the dialogue: using AI not just to retrieve our answers, but to help us finally articulate the right questions.

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100 Companies that Matter in Knowledge Management 2026