A Tale of Two Semantic Layers

In the rapidly evolving landscape of information and data management, the term Semantic Layer is increasingly utilized to describe two different types of ‘layers’ in the modern data stack. The first Semantic Layer is focused on enabling centralized analytics within … Continue reading

The Role of AI in the Semantic Layer

Two significant recent trends in knowledge management, artificial intelligence (AI) and the semantic layer, are reshaping the way organizations interact with their data and leverage it to derive actionable insights. Taking advantage of the interplay between AI and the semantic … Continue reading

Enterprise Knowledge Graphs: The Importance of Semantics

Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “Enterprise Knowledge Graphs: The Importance of Semantics” on May 9, 2024, at the annual Data Summit in Boston.  In her presentation, Hedden describes the components of an enterprise knowledge graph and provides … Continue reading

Adding Context to Content in the Semantic Layer

Content is a critical organizational asset. Whether product documentation, sales and marketing materials, industry rules and regulations, employee policies, or learning materials, content forms the backbone of operations, decision-making, and end-user experiences. Organizations are challenged to generate content and structure … Continue reading