Knowledge Base - Enterprise Knowledge

GraphRAG in the Enterprise

Kaleb Schultz . March 5, 2026 . Blog

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

Fernando Aguilar Islas . February 24, 2026 . Blog

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

Lulit Tesfaye . Urmi Majumder . February 5, 2026 . Blog

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?

Joe Hilger . February 3, 2026 . Blog

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

Zach Wahl . January 29, 2026 . Blog

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

Helyx Horwitz . January 27, 2026 . Blog

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

Madeleine Adamec . Guillermo Galdamez . January 21, 2026 . Blog

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

Zach Wahl . January 20, 2026 . Blog

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

Taxonomist Role in the New World of Generative AI

Yumiko Saito . January 13, 2026 . Blog

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

Where AI is Failing Organizations Without a Semantic Layer: Lessons From the Trenches (with Case Studies)

Lulit Tesfaye . January 12, 2026 . Blog

It has been over three years since OpenAI, an artificial intelligence research company, introduced ChatGPT in November 2022. While artificial intelligence has existed for decades prior, this release and development of Generative AI (GenAI), large language models (LLMs), and their … Continue reading