KMWorld Readers' Choice Award Winners 2025

KM is about people and their ability to capture, organize, share, and make actionable knowledge. KM relies on technologies that can enable this core mission. Congratulations to the KMWorld Readers' Choice Award winners, and many thanks to all of you who submitted nominations and took the time to vote.

KMWorld Leader Group for 2025

While our Readers' Choice Awards honor the top companies in each of the categories, we've expanded this year's coverage to include a supplementary list we're calling the Leader Group that showcases the broader landscape of exceptional KM solutions available to organizations today. So much excellent work is being done, and done quickly, given the rapid changes in technology.

Readers' Choice Awards 2025 - Access Innovations: Implement Foundational Technologies in your AI Projects

Organizations that implement foundational technologies, such as taxonomy and auto-tagging content, will see significantly better success rates. With AI adoption failure rates ranging from 50% to 95%, it makes sense to take the time to lay a solid foundation first.

Readers' Choice Awards 2025 - Bloomfire - Certified Knowledge that Enables Accurate, Reliable AI

Where others generate content, we verify, cite, and continuously improve it—so answers are trusted, not just fast. This is what makes Bloomfire agentic AI in practice: intelligence that doesn't just respond, but takes action to govern, heal, and surface knowledge in ways that drive measurable outcomes.

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

Leaders predict AI to continue permeating all aspects of KM in 2026

AI continues to be the topic du jour for various aspects of knowledge management, and 2026 looks to be no exception as leaders in the industry look ahead

How Semantic AI & Knowledge Graphs Can Turn M365 Environments Into a Smart Knowledge Hub

By eliminating data silos, semantic AI enriches customer data and content and enables greater knowledge discovery across an organization. Due to its diverse capabilities, such as text mining, tagging, semantic search, etc., it can be implemented along the whole data and content lifecycle in order to develop intelligent applications. When integrated with an organization's CMS, semantic AI can help individuals get the information they need sooner.

Why Diverse Data Leads to Smarter Business Decisions

To truly unlock the business growth capabilities of data and AI, strategy must be grounded in diversity and aligned with an organization's values. When inclusive data is supported by ethical, diverse teams and a culture of accountability, the result is not just smarter business, but also meaningful impact for society as a whole.

Me and Mr. Tibbs

Enter Mr. Tibbs, the personal AI agent I imagine having in a year or so. If Mr. Tibbs went through that filing cabinet, it would learn plenty. Of course, I'm imagining Mr. Tibbs version 4.0, which is not only smarter, but also magically has the physical mechanisms required to go through a stack of folders.

Human Evolution in a Digital World

Human senses play a critical role in group interaction and collaboration, a key aspect of KM.

The Productivity Paradox: Why Your AI Investment Won’t Pay Off Without KM

There should be one clear group of winners emerging from the coming disillusionment: knowledge and information managers. The AI reckoning will force a long-overdue epiphany upon executive leadership: The value of technology is not inherent; it is contingent on the quality of the information fuel you feed it.

Will AI Ever Play in Peoria? The Enterprise Reality Check

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.

The Trend-Setting Products in Knowledge Management 2025

AI-Powered PLM in Manufacturing: Making PLM Content AI-Ready

How ENOVIA + Adlib turn CAD, BOMs, and SOPs into reliable knowledge for search, RAG, and compliance

Pharma Launches Don’t Fail Because of Strategy. They Fail Because of Documents.

Discover how Veeva + Adlib eliminate content bottlenecks, accelerate approvals, and make your launches AI-ready.

Managing Information Through Transition: The Merger and Acquisition Integration Playbook