KMWorld Trend-Setting Products of 2025

KMWorld's Trend-Setting Products list of 2025 is composed of the contributions of forward-thinking vendors that are leading the way in innovation.

Enjoy Better Business Intelligence, Faster - LexisNexis

Nexis+ AI delivers access to quality results, leveraging a global data library that includes genAI-enabled news and corporate data from thousands of globally-recognized sources, including The Associated Press, Dun & Bradstreet, Gannett, and many more.

AccessibilityNow®: AI Accessibility for Speed, Savings & Compliance - Crawford Technologies

Crawford Technologies is a global leader in enterprise document management, helping organizations optimize and enhance the secure and accessible delivery, storage, and presentation of their customer communications.

Transform enterprise data into a strategic, AI-ready asset - EncompaaS

Designed for unstructured content, EncompaaS discovers, classifies, and enriches information across Microsoft 365, legacy ECM systems, and file shares—without migration. It automates governance, applies retention and sensitivity policies, and enriches metadata to improve GenAI outcomes.

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.

Navigating the IT Landscape: Balancing Hybrid Cloud and Cloud Repatriation to Stay in Control of Your Infrastructure

To secure their data, certain industries have strict regulations regarding data storage, requiring data to be kept in specific geographic locations or under stringent security measures. This is yet another reason for organizations nowadays to switch back to on-prem resources.

Experts predict AI will continue impacting KM in 2025

AI continues to disrupt the knowledge management space and experts in the field predict that it's a trend that still hasn't reached its full potential, yet. In 2025 there's more room for improvement.

Integration impasse: Why organizations can’t wait for data integration before deploying AI

The need for comprehensive data management will always be important, and there are many other benefits of digital transformation, but CIOs don't need to delay GenAI projects until the completion of a giant data centralization effort. By adopting a more flexible approach that incorporates GenAI and next-generation BI tools, businesses can navigate the complexities of modern data ecosystems while driving innovation and maintaining a competitive edge in an AI-driven world.

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.

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 Long- and Short-Term Impacts of AI Technologies

A much less-known but arguably more critical tech law is Amara's Law, which states that we tend to overestimate the short-term impact of new technology while underestimating its long-term effects.

Trees, chains, and brains

Today's AI has many different flavors and architectures, along with massive amounts of memory and processing capacity. We could probably make better use of this computational power by looking at how we can improve the quality of our queries and, as a result, make better quality decisions.

Why public GPTs fail at structured enterprise content — and what to do instead.

Content findability — mastering the key to customer self-service

TransUnion modernized documentation that builds trust.

From Static to Scalable: How Topcon Future-Proofed Its Global Content