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Content related to How to Design Taxonomies that Reflect Organizational Differences, For Humans and AI

What Are Explainable AI Knowledge Portals and Why Do You Need Them?

Knowledge Portals first came into prominence in the early 2000s. These initial portals were a collection of static links to information on everything from HR systems to company policies and communications. It was a single location to access the systems … Continue reading

Top Knowledge Management Trends – 2026

Since 2019, I’ve been authoring an annual KM Trends article. This article tends to be one of the most important and challenging that Enterprise Knowledge produces each year, and rightly should be listed as a coauthorship with many of my … Continue reading

Taxonomy Alignment for SDG Tagging

In the session  “Utilizing Taxonomies to Meet UN SDG Obligations“ co-presented at KMWorld 2025 on November 17th, Enterprise Knowledge’s Ben Kass and ASHA’s Mike Cannon discuss how they structured taxonomies within an ongoing auto-tagging implementation to serve content management and … Continue reading

Taxonomist Role in the New World of Generative AI

We have been at the forefront of implementing generative technologies to augment traditional taxonomy workflows offering new capabilities for content modeling, classification, and semantic enrichment. This raises an important question for practitioners: What are the implications of Generative AI for … Continue reading

A Healthier Knowledge Platform: Taxonomy Principles to Support Knowledge Management at a Not-for-Profit

Would your organization benefit from “healthier” knowledge management practices? Learn more about how the YMCA of the USA improved the health of key internal tools.  During their presentation, “Taxonomy Principles to Support Knowledge Management at a Not-for-Profit” at KMWorld’s Taxonomy … Continue reading

How Taxonomies and Ontologies Enable Explainable AI

Taxonomy and ontology models are essential to unlocking the value of knowledge assets. They provide the structure needed to connect fragmented information across an organization, enabling explainable AI. As part of a broader Knowledge Intelligence (KI) strategy, these models help … Continue reading

How to Leverage LLMs for Auto-tagging & Content Enrichment

When working with organizations on key data and knowledge management initiatives, we’ve often noticed that a roadblock is the lack of quality (relevant, meaningful, or up-to-date) existing content an organization has. Stakeholders may be excited to get started with advanced … Continue reading

Semantic Layer Strategy: The Core Components You Need for Successfully Implementing a Semantic Layer

Today’s organizations are flooded with opportunities to apply AI and advanced data experiences, but many struggle with where to focus first. Leaders are asking questions like: “Which AI use cases will bring the most value? How can we connect siloed … Continue reading