Using Tacit and Explicit Information for Productivity

One of the strongest driving forces for launching an initiative to capture tacit knowledge is to ensure that institutional knowledge is not lost as people retire or resign. Another is for succession planning and organizational growth. Lack of succession planning results in loss of knowledge. It undermines organizational stability and impedes innovation.

Taxonomies and Ontologies Transforming Knowledge Management

The long history of KM's reliance on taxonomies and ontologies is adding new, transformative possibilities as practitioners explore technological developments with AI.

Putting the ‘human’ in ‘human-in-the-loop’ at KM & AI Summit 2025

Kim Glover, Director, Communications Change Management, TechnipFMC, will lead two sessions at this year's KM & AI Summit—'Cooking With KM: Knowledge Sharing & Building Skills,'"and "Storytelling for Collaboration & Change"—exploring how "human-in-the-loop" concepts reflect and affirm the broader purpose of AI, technology, and KM itself.

KMWorld 100 Companies That Matter in Knowledge Management 2025

The importance of innovation and creativity in KM cannot be overstated. In many respects, AI and other emerging technologies have cemented the importance of KM within organizations, making KM a "must have" rather than a "nice-to-have" vehicle for knowledge sharing and organizational success. Companies on this list are wonderful examples of how they help organizations unlock the power of knowledge. They stand out in the KM field, and we applaud their accomplishments.

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.

Beyond the Unknown Unknowns

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

Scarcity Versus Abundance

The Knowledge Age we've been talking about for so long has finally arrived. The potential for scarcity is real, but so is the potential for overflowing abundance. Let's bring every tool in our KM arsenal to bear, along with our decades of experience, and help make it happen.

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.

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