Blog Archives

Unified Entitlements: The Hidden Vulnerability in Modern Enterprises

Maria, a finance analyst at a multinational corporation, needs quarterly revenue data for her report. She logs into her company’s data portal, runs a query against the company’s data lake, and unexpectedly retrieves highly confidential merger negotiations that should be … Continue reading

How Sustainability Grows from KM

Sustainability is becoming increasingly important to businesses’ fiscal outcomes. Sustainability is the practice of enhancing environmentally-friendly practices in an organization, such as by reducing energy consumption or water usage. Today’s consumers value sustainability as a core principle when making purchasing … Continue reading

A Practical Guide To Knowledge Transfer Interviews

Organizations often wait too long to target and capture the lessons learned and takeaways gained from senior leaders’ experience and tenure. As a result, when senior executives leave or retire, key nuggets of institutional knowledge often leave with them. Knowledge … Continue reading

Content Mastermind (Taylor’s Version): What Taylor Swift Can Teach Us About The Benefits of Repurposing Content

In January of 2025, Taylor Swift charted #1 on Billboard, breaking a record for most Number 1s on the Top Album Sales list with a new version of an almost six-year-old album. The 2025 repressing of Lover (Live from Paris) … Continue reading

Semantic Layer Maturity Framework Series: Taxonomy

Taxonomy is foundational to the Semantic Layer. A taxonomy establishes the essential semantic building blocks upon which everything else is built, starting by standardizing naming conventions and ensuring consistent terminology. From there, taxonomy concepts are enriched with additional context, such … Continue reading

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

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?

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

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

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