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.

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.

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 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.

252 Million Walas

There are 195 countries in the world. How many more entrepreneurial innovation hotspots are out there, waiting to be tapped and awakened? In our high-tech, virtual world, all of the steps Pakistan has taken can be replicated virtually anywhere, regardless of your country's size, GDP, or location. Imagine the possibilities ...

Inefficient at the speed of light

While process mining started years ago as a mainly data-driven exercise, its stated goal is to be knowledge-driven. Given KM's multidisciplinary scope, we can play a major role in achieving that goal. Any process, no matter how simple, has the potential to reach across an entire business ecosystem, including all stakeholders. This seems like a perfect match for collaborative workflow, AI/ML, knowledge graphs, human sensemaking, and many of the other arrows in our KM quiver.

The AI-Powered Intranet Blueprint

2025 KMWorld Guide to KM Trends, Products, and Services

100 Companies that Matter in Knowledge Management 2025

From Clutter to Clarity- Why only 2-5% of your Content Matters for KM