Blog Archives

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

How to Implement a Semantic Layer: A Proven Operating Model

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

Top Semantic Layer Use Cases and Applications (with Real World Case Studies)  

Today, most enterprises are managing multiple content and data systems or repositories, often with overlapping capabilities such as content authoring, document management, or data management (typically averaging three or more). This leads to fragmentation and data silos, creating significant inefficiencies. … Continue reading

Enhancing Taxonomy Management Through Knowledge Intelligence

In today’s data-driven world, managing taxonomies has become increasingly complex, requiring a balance between precision and usability. The Knowledge Intelligence (KI) framework – a strategic integration of human expertise, AI capabilities, and organizational knowledge assets – offers a transformative approach … Continue reading

Harnessing Institutional Knowledge to Enhance Employee Learning

Institutional knowledge loss erodes an organization’s effectiveness by neglecting critical collective wisdom and work previously produced by others. It is a challenge that is cumulative in its effect. The more time that goes by where an organization fails to protect … Continue reading

Leveraging Institutional Knowledge to Enable Innovation

In Greek mythology, the character Sysiphus is condemned to spend eternity pushing a boulder up a hill, only for the boulder to roll back down as soon as he nears the top.  When organizations lack capability to manage and preserve … Continue reading

Using Knowledge Management to Minimize the Costs of Departing Leaders

Institutional knowledge loss can take many forms, but one of its most common instances occurs when long-standing leaders and experts decide to step down and leave the organization. Departures arise as individuals look for new opportunities, retire, or as a … Continue reading