March/April 2026 (100 Companies) [Volume 35, Issue 1/2]

Features

AI and the Big Game - Access Innovations, Inc.

In areas where accuracy really counts, AI still has issues. These issues are grounded in how AI language models are built and how they learn. Language models are trained using tokens and chunks of information, which can lead to a loss of context. When we read, we consider the information that came before the next piece to give us context—what this piece means, given the piece just before it. Data labeling solves this problem, and Access Innovations does this better than anyone.

The Infrastructure Beneath Enterprise AI - Bloomfire

Bloomfire is your governed Enterprise Intelligence layer: infrastructure that sits between your AI applications and your enterprise data. We connect fragmented knowledge pools, enrich your internal knowledge with trusted external sources, continuously clean and curate content, and ensure that AI responses are grounded in verified, up-to-date institutional knowledge with clear citation and context.

Knowledge Automation: The End of Manual Knowledge Management - eGain

Enterprise AI deployments are only as good as the knowledge that feeds them. Knowledge Managers relying on manual KM processes will find themselves unable to keep pace with the demands of AI-powered customer engagement. Knowledge Automation provides the solution—a continuously optimized, trusted knowledge layer powering both human agents and AI.

The Leading Knowledge Management Services Firm to Help You Bridge Your Knowledge, Data, and AI Goals - Enterprise Knowledge

Where most organizations are still struggling to realize value from AI initiatives or move beyond the pilot phase, at EK, we've ensured our clients are realizing measurable business returns at the enterprise level. Our success in this space stems from our constant stance forward, helping to not just spot the forthcoming trends, but actually to establish them.

From Information to Intelligence: Elevating Organizational Experiences with Knowledge Management and GenAI - KMS Lighthouse

As GenAI becomes embedded into daily workflows, the organizations that succeed will be those that invest in both strongknowledge foundations and intelligent AI-driven experiences.

Taking Work to the Next Level - Mindbreeze

Our unique strength is the ability to govern, scale, and operationalize intelligence, while delivering measurable business value and clear ROI. At the same time, Mindbreeze remains auditable, compliant, and aligned with enterprise policies, making it suitable for mission-critical use.

AI is only as powerful as the knowledge behind it - Upland RightAnswers

AI must operate within clear guardrails, supported by human oversight and defined governance processes. When knowledge is reviewed, versioned, and owned, AI becomes a trusted accelerator rather than a potential risk. Organizations that embrace human-in-the-loop governance are better positioned to innovate confidently while maintaining control.

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.

Impact of AI on KM Strategy: A Two-Way Street

AI's impact on KM strategy is omnipresent and includes recognizing its potential, particularly for enhancing existing knowledgebases and automating existing processes, while acknowledging the critical role of accurate, clean data to which organizations have access. Consider it a two-way street when setting organizational strategies.

The Next Edge in Knowledge Management: KM for the Modern Workforce and the Era of AI

Traditional KM has always recognized that the most valuable knowledge is not just stored in documents or databases, but exchanged through conversations, mentorship, and collaboration. It's the wisdom that walks out the door when someone retires, the lessons learned from past successes and failures, and the expertise that enables teams to solve problems faster and innovate with confidence. Today, however, the landscape has shifted. We have more hybrid teams, distributed expertise, and the continued rise of AI.

ViewPoints

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.

David Weinberger

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.

The Future of the Future

If We’re Truly in the Knowledge Age, Why Is Higher Education in Crisis?

Clearly, both traditional college degrees and specialized trade certifications are too narrow and fragmented to fully prepare students for what lies ahead. For now, a hybrid system is emerging that balances the arts and the sciences, augmented by one or more areas of specialization. KM's multidisciplinary nature gives us a distinct advantage in helping to make this transformation happen. The trick is knowing when to work inside and when to work outside the formal system.

Ethical Innovation

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 illusoryfoundations. Our role is not to stand on the sidelines shouting warnings. It is to quietly, strategically, and indispensablybecome the people they cannot do without—the ones who ensure the entire system can actually function.