-->
Governance
Information and technology governance is a subset discipline of corporate governance, focused on information and technology and its performance and risk management.

Register Now to SAVE BIG & Join Us for KMWorld 2025, November 17-20, in Washington, DC.

Features

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: 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.

ViewPoints

Embracing Digital DNA for Business Transformation

By adopting a mindset of agility, adaptability, and knowledge sharing, companies will be able to solve customer pain points, deliver exceptional experiences, foster loyalty, and continue to anticipate changes and meet customer needs with a digital-first mindset.

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.

Columns

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.

The rise and potential fall of the citizen developer

The citizen developer movement was heralded as a revolution. Like most revolutions, things have sometimes gone differently than planned. The logic is sound, empowering those who know the business best to build the tools and systems needed to do their job. Ah, if only things were that simple …

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.

Knowledge Management Whitepapers

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

Governance Companies and Suppliers
Governance Directory