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.

Digitization Strategy: 5 Tips for Planning & Executing a Successful Initiative - Access Corp

Access works across the information lifecycle to securely scan/digitize, index, store, and dispose of documents.

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.

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.

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.

Knowledge Through Motion

Although large bodies of research have identified mind-body-environment connections, much of this research remains untapped and underutilized.

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