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Navigating the Retirement Cliff: Challenges and Strategies for Knowledge Capture and Succession Planning

As organizations prepare for workforce retirements, knowledge management should be a key element of any effective succession planning strategy, ensuring a culture of ongoing learning and stability. This piece explores the challenges organizations face in capturing and transferring critical knowledge, … Continue reading

Semantic Layer Strategy: The Core Components You Need for Successfully Implementing a Semantic Layer

Today’s organizations are flooded with opportunities to apply AI and advanced data experiences, but many struggle with where to focus first. Leaders are asking questions like: “Which AI use cases will bring the most value? How can we connect siloed … Continue reading

Breaking Down Types of Knowledge Assets and Their Impact

In their blog “What is Knowledge Asset?”, EK’s CEO Zach Wahl and Practice Lead for Semantic Design and Modeling, Sara Mae O’Brien-Scott, explored how organizations can define knowledge assets beyond just documents or data. It emphasizes that anything, from people … Continue reading

Semantic Layer for Content Discovery, Personalization, and AI Readiness

A professional association needed to improve their members’ content experiences. With tens of thousands of content assets published across 50 different websites and 5 disparate content management systems (CMSes), they struggled to coordinate a content strategy and improve content discovery. They could not keep up with the demands of managing content … 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

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

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

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