KMWorld Readers' Choice Award Winners 2026

Technology, for KMers, presents many impressive tools to aid us in our mission. We don't do technology for the sake of technology, although some of us do enjoy tinkering with the possibilities inherent in, say, each new language model from the AI technology companies. It is also incumbent upon KMers to test out what our vendors are doing to use AI in their products. Two questions are paramount: Does the new version of a product work as intended? And does it actually match up with what we need to accomplish in our individual work situations?

KMWorld Leader Group for 2026: The KM Leaders Circle

The Leader Group showcases the broader landscape of exceptional KM solutions available to organizations today.

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.

Future-Proofing Your KM Initiatives

Key elements for future-proofing KM initiatives are governance, providing searchable and actionable content, and finding highly qualified personnel. This list is easy to write, but difficult to execute. To be sure, the age of agentic AI will be a challenging one for KM.

Stop Building Exploratory Dashboards and Start Building Decision Dashboards

Organizations don't suffer from a lack of data—most have more than they'll ever fully use. What they are missing is the ability to transform data into a subsequent step that someone can take responsibility for. This week, choose your top-viewed dashboard and evaluate it with one question: Does it indicate a decision, or merely outline a scenario? If it merely describes, you already know how to proceed. Exploration is where analytics begins. A decision is the only place it's allowed to end. 

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.

Agentic AI and the Evolution of Finance: How Smarter Systems Are Powering Usage-Based Models and Enterprise Growth

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.

Conversational AI interfaces and human-AI collaboration to transform legal knowledge management in 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.

Rethinking Governance

Human knowledge governance, conversely, is more about enablement: roles, competencies, training, incentives, culture, and the like. Start seriously digging into the risks associated with AI, and you'll likely find a human at or near the point of origin. Numerous instances of human experts finding things AI missed and vice versa exist. If we start viewing governance as bidirectional, humans teaching computers and computers teaching humans, the upside becomes substantial.

Looking to the Past to Co-Create the Future

As more ancient texts become digitized and translated, let's go all-in by using human-augmented AI, combining ancient knowledge artifacts with our modern body of research. And let's not just be confined to one or two disciplines. Infinitely large numbers of breakthrough innovations even more impactful than the examples shared are possible.

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.

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