Knowledge Base - Enterprise Knowledge

KM Strategy for AI Readiness

Guillermo Galdamez . July 29, 2026 . Blog

Enterprise Artificial Intelligence (AI) readiness depends on the maturity of its underlying knowledge management (KM) ecosystem, not algorithmic power. Without structured, semantically enriched data, advanced models fail due to misalignment, data fragmentation, and hallucinations. Executive leaders face immense pressure … Continue reading

Beyond Static Permissions: Why Agentic AI Needs Intent-Based Access Control

Fernando Aguilar Islas . June 30, 2026 . Blog

From Static Boundaries to Dynamic Intent AI agents don’t just need permission to access resources. They need constraints on how they use that access. Intent-Based Access Control (IBAC) is an emerging authorization model that enforces the principle of least privilege … Continue reading

The New Role of Knowledge Management and its Professionals

Zach Wahl . June 29, 2026 . Blog

The world of Knowledge Management is changing rapidly. For those that can seize the moment and embrace the change, this presents an incredible opportunity. For those that instead react with fear or resistance, they will quickly find themselves in obsolescence. … Continue reading

Ontology and Knowledge Graph in the Age of AI and Agents

Diana Felder . June 8, 2026 . Blog

As organizations accelerate investments in AI, semantic data models, advanced analytics, and agentic transformation, lots of jargon gets thrown around, and this sometimes results in confusion about how data driven systems work. In the realm of semantic layers, one of … Continue reading

Why AI Projects Fail Without a Common Language: The Case for Taxonomy Standards

Emma Chow . Eloragh Espie . May 27, 2026 . Blog

As organizations rush to adopt AI solutions and technologies, the necessary structures to support such solutions are often overlooked. Gartner predicts that by 2026, 63% of organizations will not have the right data management practices for AI. This gap shows … Continue reading

How to Scale a Semantic Layer with Interoperable Ontologies

James Egan . Diana Felder . May 19, 2026 . Blog

A Semantic Layer is the framework for connecting data from multiple sources and formats in both a human- and machine-readable way that enables organizations to understand the meaning of their data, extract contextualized information, and discover new insights. A key … Continue reading

A Practical Guide to a Taxonomy Remodel

Bonnie Griffin . May 18, 2026 . Blog

For anyone who has undertaken any form of home remodel or loves to watch television shows featuring them, the general phases of a home renovation are familiar: visualizing the target state of the remodeled home, carrying out structural work, demolition, … Continue reading

Taxonomies vs. Ontologies for Enabling AI-Readiness

Kathleen Gollner . May 11, 2026 . Blog

AI solutions need to be grounded in an organization’s context. It is difficult to reliably distill context from the entirety of an organization’s knowledge assets, including facts, documents, datasets, and other structured records. Without a specific directive on what matters … Continue reading

Three Case Studies that Showcase Why Every Semantic Layer Needs a Strategy

Madeleine Powell . Rachel Carrier . April 22, 2026 . Blog

As the world of artificial intelligence and advanced data technologies continues to accelerate rapidly, so does the importance of knowledge and information management frameworks to support AI at scale. At Enterprise Knowledge (EK), we regularly see organizations struggling to navigate … Continue reading

Semantic Layer Enablement and Change Management, Part 1: Understanding Change & Measuring Impact for the Semantic Layer

Nina Spoelker . Lynn Miller . April 21, 2026 . Blog

The semantic layer is a framework of standards and tools designed to work and remain behind the scenes. It is the conceptual layer that sits between your organization’s knowledge assets, like content and data, and the people who need to … Continue reading