Blog Archives
What is the Difference Between a Semantic Layer and a Context Layer? When to Use a Knowledge Graph vs. a Context Graph
Before AI became part of everyday conversations, most enterprise knowledge and data projects had a somewhat straightforward goal: to create a “single source of truth.” In theory, this meant that everyone in the company could look at the same search … Continue reading
What’s Next for Search? Moving Beyond Q&A to Context, Discovery, and Action
Beyond the Search Box Enterprise search is in the middle of a reset. For years, most enterprise search programs were built to return documents and links across repositories, and success was measured by whether employees could locate the right file. … Continue reading
GraphRAG in the Enterprise
Retrieval-Augmented Generation (RAG) is a commonly utilized pattern for grounding large language models in enterprise data. Instead of solely relying on a model’s training, RAG collects relevant information from internal sources, documents, knowledge bases, and other systems; it then uses … Continue reading
Graph-Based Security & Entitlements: Transforming Access Control for the Modern Enterprise
Introduction Modern organizations face significant challenges in managing entitlements across their increasingly complex technology landscapes. The proliferation of cloud-native architectures and Software-as-a-Service (SaaS) platforms has dramatically expanded the digital footprint of most organizations. Critical assets, including sensitive data, analytics, collaboration … Continue reading
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
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
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