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: Enterprise Knowledge, LLC. - Bridging Knowledge Management, Data, and Artificial Intelligence

Our foundational success stems from bridging knowledge, information, and data management, enabling us to deliver highly functional and reliable semantic layer and AI initiatives for our clients.

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.

KM 101 in the Era of AI: An Interview With Stan Garfield

One of the things KM can do for AI is to empower learning communities to help people how AI applies to them and how to navigate through changes generated by it.

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.

Why ubiquitous AI will mean more, not fewer, white-collar jobs

One thing is clear: The widespread adoption of GenAI will not lead to fewer knowledge jobs, but rather, it will pave the way for their growth and evolution.

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.

Let’s Get Real About the Impact of AI on Jobs

History tells us that industrial revolutions ultimately do create more jobs, but that the transition period is long and highly turbulent. Thus, when we see resistance in the workplace to AI and automation in general, we should acknowledge that the resistance and fear are well-grounded.

Beyond the Unknown Unknowns

The concept of unknown unknowns provides us with some cover for not anticipating changes that are impossible to predict.

The Dethroning of Deduction

AI's favoring of induction over deduction is the root of its power, for it lets it deal with the specifics that bedevil the application of broad major premises.

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