New Looks for Intranets and Dashboards

The new looks for intranets and dashboards will continue to expand on enhanced visualizations and personalization to further knowledge flows.

KMWorld Trend-Setting Products of 2026

KMWorld's Trend-Setting Products list of 2026 identifies the contributions of forward-thinking companies that are leading the way in innovating for knowledge access and sharing, improving knowledge flows, and paving the way for knowledge managers.

You Think Your Content is AI-Ready. Are You Sure? Access Innovations Data Harmony

By bringing knowledge domain-based systems into the era of artificial intelligence, the company continues its mission to make knowledge accessible, interoperable, and powerful for the next generation of AI solutions.

Stravito AI Assistant: AI that connects all your consumer intelligence with all your decisions. Finally!

Stravito is the platform enterprise teams use to find what you already know, at decision speed, synthesize your knowledge into contextual, analyst-depth answers and pressure-test ideas against consumer perspectives built from your own data before investment is committed.

Your Enterprise Knowledgebase Was Built for Search, Not Action

The next stage of enterprise knowledge management will not be defined only by larger repositories or better search. It will be defined by whether the knowledge layer can explain what is true, where it applies, who is responsible for it, and what it is allowed to do. A knowledgebase built for search helps people find information. A knowledge system built for action helps a company use that information safely.

Stop Calling It Automation: AI Is a Knowledge Augmentation Layer, not a Replacement

Organizations that treat AI as an augmentation layer—one more component in a socio-technical system built on semantic grounding and human accountability—will get the compounding advantage everyone else is trying to buy with a bigger model. That's the bet worth making. Not AI instead of KM, but AI inside KM, on KM's terms. 

The Age of the Citizen Developer: Mitigating Risk While Cultivating Enthusiasm

As untrained coders adopt AI, organizations must balance risk mitigation with fostering innovation. The organizations that succeed will not be those that restrict citizen developers, but those that channel their activity within well-defined guardrails and enforceable governance frameworks. When governance enables innovation rather than reacting to it, enterprises can capture AI's value without exposing themselves to unnecessary risk.

Semantic Layers Bring Answers to Problems KM Is Designed to Solve

With a semantic layer framework, an organization can actually spot where they lack explicit knowledge and information, or where people are asking questions for which explicit answers don't exist.

The Joy of Dumb Questions: Knocking on the Door to Knowledge

If you're a knowledge manager, work on creating a culture that discourages knowledge one-upmanship. Make sure that your knowledgebase has answers at every level of experience and knowledge. And, as a leader, embrace chances to ask dumb questions without fear or hesitation. After all, dumbness acknowledged is the most powerful knowledge tool we have.

The Deterministic Delusion: Why Agentic AI Fails the Rules-Based Reality of KM

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.

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.

Forget AI Magic, Embrace the Knowledge Graph

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.

Standardize, Comply, Innovate: How Enterprise Information Architecture Helps Businesses Meet Industry Standards

The Trend-Setting Products in Knowledge Management 2026

The Enterprise Semantic Backbone: A Foundation for Reliable and Scalable Agentic AI

The Semantic Control Plane: Why Enterprise AI Fails in Production