Blog Archives
Understanding the New Knowledge, Data, and AI Ecosystem: Trends in Enterprise AI Architecture
The way we consume, create, and engineer information has changed dramatically, with the last several years demonstrating a marked transformation due to Artificial Intelligence (AI). According to a recent report, Generative AI adoption has reached a tipping point, with nearly … Continue reading
Optimizing Historical Knowledge Retrieval: Extracting Knowledge by Making Connections
A financial services firm built a mature graph data ecosystem, but the graph database they selected originally did not scale as multiple business-critical solutions relied on graph data. As application and business teams across multiple stakeholder groups expanded usage … Continue reading
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
The Role of Product Taxonomies in the Age of AI
Product Taxonomies are Your Intellectual Property; Why they Deserve More than AI Slop “Good design is invisible,” a principle that applies as much to digital taxonomy design as it does to the design of physical objects and spaces. At their … Continue reading
Sara Nash Presenting Keynote Session at Enterprise Data Governance Online
Sara Nash, Practice Leader for Semantic Engineering and Enterprise AI at Enterprise Knowledge, will be moderating the keynote session titled “Data vs AI Governance: Is It the Same Thing?” at Enterprise Data Governance Online’s annual event on Wednesday, January 28th … Continue reading
3 Common Pain Points in Transitioning from Semantic Strategy to Implementation and How to Avoid Them
At EK, we work with many organizations that are looking to connect, standardize, and enrich knowledge assets (both structured data and unstructured content) for their enterprise through the implementation of a Semantic Layer. While traditionally, Semantic Layer implementation was in … Continue reading
The Unintended Consequences of Artificial Intelligence
Organizations continue to make significant investments in Enterprise AI, bringing Agentic and Generative AI solutions into their own operations and systems, with the goals of improving their operations through automation and machine learning. Within the context of knowledge, data, and … Continue reading
Enterprises, KM, & AI: From Fragmented Knowledge to Intelligent Systems
In the session “Enterprises, KM, & AI: From Fragmented Knowledge to Intelligent Systems,” Jess DeMay (Enterprise Knowledge) and Rachel Teague (Emory Consulting LLC.) co-presented at KMWorld 2025, exploring how organizations can evolve from disconnected information environments into intelligent and adaptive … 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