Knowledge Base - Enterprise Knowledge

The Semantic Exchange Webinar Series Recap

EK Team . August 11, 2025 . Blog

Enterprise Knowledge recently completed the first round of our new webinar series The Semantic Exchange, which offers participants an opportunity to engage in Q&A with EK’s Semantic Design thought leaders. Participants were able to engage with EK’s experts on topics … Continue reading

LLM Solutions PoC to Production: From RAGs to Riches (Part 1)

Noa Roth . Elliott Risch . July 30, 2025 . Blog

In the past year, many of the organizations EK has partnered with have been developing Large Language Model (LLM) based Proof-of-Concepts (PoCs). These projects are often pushed for by an enthusiastic IT Team, or internal initiative – with the low … Continue reading

Semantic Search Advisory and Implementation for an Online Healthcare Information Provider

EK Team . July 22, 2025 . Case Study

The medical field is an extremely complex space, with thousands of concepts that are referred to by vastly different terms. These terms can vary across regions, languages, areas of practice, and even from clinician to clinician. Additionally, patients often communicate … Continue reading

Graph Analytics in the Semantic Layer: Architectural Framework for Knowledge Intelligence

Fernando Aguilar Islas . June 17, 2025 . Blog

Introduction As enterprises accelerate AI adoption, the semantic layer has become essential for unifying siloed data and delivering actionable, contextualized insights. Graph analytics plays a pivotal role within this architecture, serving as the analytical engine that reveals patterns and relationships … Continue reading

What is a Knowledge Asset?

Sara Mae O'Brien-Scott . Zach Wahl . June 16, 2025 . Blog

Over the course of Enterprise Knowledge’s history, we have been in the business of connecting an organization’s information and data, ensuring it is findable and discoverable, and enriching it to be more useful to both humans and AI. Though use … Continue reading

Beyond Traditional Machine Learning: Unlocking the Power of Graph Machine Learning

Kaleb Schultz . June 12, 2025 . Blog

Traditional machine learning (ML) workflows have proven effective in a wide variety of use cases, from image classification to fraud detection. However, traditional ML leaves relationships between data points to be inferred by the model, which can limit its ability … Continue reading

The Role of Taxonomy in Labeled Property Graphs (LPGs) & Graph Analytics

Annabel Lane . June 2, 2025 . Blog

Taxonomies play a critical role in deriving meaningful insights from data by providing structured classifications that help organize complex information. While their use is well-established in frameworks like the Resource Description Framework (RDF), their integration with Labeled Property Graphs (LPGs) … Continue reading

Enhancing Insurance Fraud Detection through Graph-Based Link Analysis

EK Team . May 21, 2025 . Case Study

A national agency overseeing insurance claims engaged EK to advise on developing and implementing graph-based analytics to support fraud detection. EK applied key concepts such as knowledge graphs, graph-based link analysis for detecting potentially suspicious behavior, and the underlying technology architecture required to instantiate a fully functional solution at the agency to address client challenges. Continue reading

How to Implement a Semantic Layer: A Proven Operating Model

Annabel Lane . May 20, 2025 . Blog

As organizations invest in enterprise AI and knowledge intelligence, the semantic layer serves as a critical foundation for providing a consistent, contextual framework that connects data assets across multiple sources to enable shared understanding, interoperability, and more intelligent use of … Continue reading

Graph Solutions PoC to Production: Overcoming the Barriers to Success (Part I)

David Hughes . May 15, 2025 . Blog

Part I: A Review of Why Graph PoCs Struggle to Demonstrate Success or Progress to Production This is Part 1 of a two-part series on graph database PoC success and production deployment. Introduction I began my journey with graphs … Continue reading