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. We urge you to review the winners and our new Leader Group of companies to check out how they could help you in your KM journey.

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.

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.

Embracing Digital DNA for Business Transformation

By adopting a mindset of agility, adaptability, and knowledge sharing, companies will be able to solve customer pain points, deliver exceptional experiences, foster loyalty, and continue to anticipate changes and meet customer needs with a digital-first mindset.

Bridging the Knowledge Gap in Manufacturing: Securing Institutional Expertise for the Future

The manufacturing sector is at a crossroads. While investments in new technologies and infrastructure are essential, they must also be utilized to preserve and share institutional knowledge. By adopting a comprehensive KM strategy that includes centralized data management, digital innovation, and a culture of knowledge sharing, manufacturers can safeguard their expertise and secure long-term success.

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.

A System of Systems … With a Twist

Many long-standing technologies such as swarm intelligence, biomimicry, neural networks, and the like are now being stitched together. Think of what could happen if each of those technologies interacted not only with each other but also with the environment at large, its living and artificial elements, as an integrated whole.

What Problem Is AI Actually Trying to Solve?

Too often, AI is deployed reactively—thrown at symptoms rather than root causes—leading to wasted resources, disillusionment, and even deeper inefficiencies.

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