KMWorld 100 Companies That Matter in Knowledge Management 2025

The importance of innovation and creativity in KM cannot be overstated. In many respects, AI and other emerging technologies have cemented the importance of KM within organizations, making KM a "must have" rather than a "nice-to-have" vehicle for knowledge sharing and organizational success. Companies on this list are wonderful examples of how they help organizations unlock the power of knowledge. They stand out in the KM field, and we applaud their accomplishments.

Enhancing Organizational Experiences: The Power of Knowledge Management Systems and LLMs - KMS Lighthouse

Looking forward to 2025 and beyond, the synergy between KMS and LLMs will drive significant advancements in organizational experiences. By leveraging the strengths of both technologies, organizations can expect enhanced efficiency, better decision-making, and more innovative solutions to complex problems.

Semantic Search: A Deeper Meaning

Search has proved to be a conundrum for many organizations, but the advent of new techniques and better integration into KM platforms will prove to be a driver for greater adoption.

Beth Rudden will explore the human element of AI at KM & AI Summit 2025

There's a lot of trepidation when dealing with AI, and for good reasons. However, the key to utilizing the tech is to work with it, not against it.

Moving beyond the illusion of ‘AI is magic’ at KM & AI Summit 2025

At this year's KM & AI Summit, Seth Earley, CEO of Earley Information Science and author of The AI Powered Enterprise, will break down what makes AI work—and work successfully—in his session, "Building a Knowledge Architecture for Retrieval-Augmented Generation (RAG)."

KM & AI Summit 2025 keynote to showcase knowledge management and AI as the backbone for customer service success

Ashu Roy, chairman and CEO of eGain, will share how leading clients are accelerating knowledge creation and curation, along with improving search success rates while driving down costs, during his KM & AI Summit keynote, "AI Knowledge for Customer Service Success"

Breaking down the realities of GenAI implementation at KM & AI Summit 2025

During his KM & AI Summit session, "Enterprises With AI Action: Industry Insights," John Chmaj, senior director, KM strategy, Verint, will explore how the new knowledgebase requires us to rethink how we add, access, and present content in the age of GenAI.

Unearth the importance of creativity in knowledge management at KM & AI Summit 2025

Unlock the future of innovation and knowledge management at the KM & AI Summit in Scottsdale, Arizona, March 17-19, 2025.

KMWorld Conference Wrap-Up and Look Ahead

Evident in all the tracks and conferences was the trend toward recognizing the foundational value of KM to enterprises large and small, nonprofit and for profit. Without seamless access to knowledge—access that stretches across data silos and transcends formats—enterprises cannot please customers and employees as they would like. AI-based technologies contribute to elevating the value of KM, but they are not the only driving force.

Technology to connect people and knowledge

The ability to centralize the knowledge found in the distributed tools, repositories, and databases for KM practitioners is the defining characteristic of today's technologies. Generative machine learning models not only play pivotal roles in managing that knowledge to make it meaningful to users, but also in enabling them to interface with it on-demand, for ad-hoc use cases.

KMWorld Trend-Setting Products of 2024

It's clear from the increase in new and exciting products designed for KM practitioners that KM is gaining in importance within organizations and being recognized as critical to the success of enterprises. The ability of technology to streamline information flows, summarize lengthy documents, surface hidden information from existing data, and make search results relevant and actionable gives companies a competitive advantage.

Taxonomies: Foundational to knowledge management

As the volume of digital content increases, the ability to manage it becomes more important. Taxonomy and metadata are vital to finding products, conducting scientific research, and keeping track of organizational information. They also enable a wide variety of analytics on unstructured data. We can see the results of a well-designed taxonomy, but behind the scenes, there's a lot more going on than meets the eye.

KMWorld 2024: Unlocking Powerful Knowledge-Sharing Solutions

This year's KMWorld 4-day event is filled with amazing practitioners, who share their enterprise knowledge and experiences, as well as experts in a number of fields, who relate their engaging stories of success with taxonomies, text analytics, search, and discovery to those in the KM community who want to learn from and network with these stellar performers.

The KMWorld AI 100: The Companies Empowering Intelligent Knowledge Management

It's easy to become overwhelmed, even awestruck at the amount of information about AI, particularly GenAI, being thrown at us on a daily basis. The ability of AI technologies to process vast amounts of data, recognize patterns that humans can't see, and generate new knowledge and insights boggles the imagination. The challenge faced by knowledge managers is determining what is actually useful and will have staying power.

AI 100 Trailblazer- M-Files: Unleash the benefits of knowledge work automation and superior GenAI experiences

The M-Files metadata foundation drives superior AI experiences by creating a unique, customer-specific information model that surrounds all content, ensuring safe and high-quality results. With M-Files, organizations automatically get the mandatory enablers for successful AI deployment: connectivity, confidentiality and curation.

Gaining competitive advantage from non-textual information

With the right approaches, tools, and self-service facilities, it is possible for users possessing any degree of technical aptitude to quickly find and avail themselves of non-textual content.

Cloud technology: A synergistic environment for KM and generative AI

Cloud technology may have become a commodity to some extent, but it is not a simple commodity. The technology that allows cloud computing to be dynamic and agile is composed of many interrelated components, which means that when one thing goes wrong, the problem can cascade.

KMWorld 100 Companies That Matter in Knowledge Management 2024

We think these companies play a pivotal role in shaping the future and bringing relevancy to how knowledge is harnessed and made useful across diverse sectors. They are committed to driving efficiency and effectiveness through KM to organizations of all types.

Promises and Perils of AI for Enterprise Knowledge Management

This survey reveals both excitement and trepidation around enterprise AI adoption for knowledge management. Long-standing problems around information access, data quality, and speedy acquisition of needed information are the puzzle pieces that AI has the potential to solve.

Overcoming data silos: A range of options

The options are many and varied when it comes to taming silos. The specific approach should depend on the use case, the organization's existing knowledge assets, and the strategic goals.