2025 KMWorld Readers’ Choice Awards: Submit your nominations now!

It's time again to choose the best of the best for the KMWorld Readers' Choice Awards—the 2025 KMWorld Readers' Choice Awards nominations process is open through July 16th.

AI Trailblazer: Access Innovations, Inc. - Improving the ability to find and discover information

We have been implementing AI since 1997. We use its collection of techniques, applications, algorithms and models to make processing informational text faster, easier, more accurate, and less of a burden on humans.

AI Trailblazer: Bloomfire - Transforming Knowledge Management into Enterprise Intelligence

At the core of Bloomfire's platform are five capabilities of Enterprise Intelligence: connecting siloed information across systems, resolving content duplication and gaps through a self-healing knowledge base, unlocking tacit expertise from employees, injecting insights directly into workflows, and proactively surfacing what teams need before they ask. Together, these capabilities turn knowledge from a passive archive into an active, strategic asset.

AI Trailblazer: Earley Information Science creating adaptable, AI-ready solutions that evolve alongside organizational needs

Successful AI initiatives begin with well-managed information. Whether designing taxonomies and ontologies, optimizing product information management, or enhancing enterprise search and personalization, we build intelligent frameworks that enable advanced analytics, machine learning, and generative AI applications.

AI Trailblazer: Lexsoft - Evolving legal ‘knowledge management’ into ‘knowledge research’

Lexsoft is leading the way in how generative AI technology can be leveraged to deliver new KM-related capabilities in the legal sector.

AI Trailblazer: Lucidworks - turn complex data into simple, actionable insights that accelerate business outcomes

As the AI landscape evolves, Lucidworks continues to lead the way in human-centered, responsible AI—focused not on hype, but on delivering trusted, transparent, and high-performing solutions that help companies grow with confidence.

AI 100 Trailblazer: Progress Software Empowers Businesses with Responsible AI Solutions

Through its comprehensive AI approach, combining Retrieval-Augmented Generation (RAG) with semantic search and knowledge graphs, Progress helps deliver significant reductions in hallucinations from the GenAI responses with source attributions that engender trust. Their solutions help businesses apply domain knowledge to AI systems, effectively amplifying human intelligence at machine scale.

Building Trustable AI

When successfully implemented, GenAI can leverage corporate knowledge in an efficient and reliable way.

2025 The KMWorld AI 100: The Companies Empowering Intelligent Knowledge Management

As AI adapts and learns, its value to KM becomes more apparent. AI offers remarkable capabilities to avoid data silos, improve search relevance, handle multimodal information sources, and uncover knowledge hidden in large, complex data stores.

Using Tacit and Explicit Information for Productivity

One of the strongest driving forces for launching an initiative to capture tacit knowledge is to ensure that institutional knowledge is not lost as people retire or resign. Another is for succession planning and organizational growth. Lack of succession planning results in loss of knowledge. It undermines organizational stability and impedes innovation.

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.

Enterprise Intelligence: Turn Knowledge from Cost Center to Profit Driver - Bloomfire

In 2025, you need enterprise intelligence—dynamic, AI-powered knowledge orchestration that connects critical insights across your entire organization in real-time.

GenAI for Customer Service: Pitfalls and Prescriptions for Success - eGain

Successful customer service automation with GenAI requires a strong foundation of integrated knowledge management. Investing in a modern knowledge hub to power GenAI projects will help you meet aggressive operational cost reduction and CX goals.

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.

In KM, Content is King - Northern Light

Make sure your knowledge management system fulfills all these requirements for effective content processing so that users (and your organization) reap maximum benefits from your KM investment.

How enterprises handle their most valuable asset: their knowledge - RWS

We're moving into an era where AI-driven content operations will be the norm, not the exception. Organizations will shift from basic automation to intelligent content orchestration, where AI systems don't just process content but understand and adapt it in real-time across multiple channels and markets.

Making Knowledge Transfer Intentional

It's critical to provide the right resources for effective knowledge transfer. This not only includes the time and space to learn but also change management elements such as rewards and recognition to motivate both sources and recipients.

Avoiding Legal Pitfalls Through Savvy Data Governance

Data governance solutions can scan and classify organizations' sensitive data according to its relevance to a particular regulation. Classifiers find specific data types of interest to specific regulatory entities.

Tips and Techniques to Close Knowledge Gaps

Knowledge gaps are a moving target, and companies must institute continuous improvement procedures to keep up. Numerous avenues exist for detecting knowledge gaps, including employee assessments and technology-derived metrics. Remedies include training and, increasingly, deploying AI solutions to seek out new information. Organizations will need to proactively monitor these gaps and use the available tools to close them in order to stay competitive.

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.