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?
Marydee Ojala //
11 Nov 2026
The Leader Group showcases the broader landscape of exceptional KM solutions available to organizations today.
Marydee Ojala //
11 Nov 2026
eGain AI KnowledgeOps, running on the eGain AI Knowledge Hub, is a continuous, automated discipline that keeps every answer current as products, policies, and regulations change.
John Copeland //
11 Nov 2026
The new looks for intranets and dashboards will continue to expand on enhanced visualizations and personalization to further knowledge flows.
Jelani Harper //
09 Nov 2026
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.
Pratham Yadav //
11 Nov 2026
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.
Marydee Ojala //
06 Jul 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
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
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
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.
David Weinberger //
09 Mar 2026
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