The Evolution of Knowledge Management & Organizational Roles: Integrating KM, Data Management, and Enterprise AI through a Semantic Layer
On June 23, 2025, at the Knowledge Summit Dublin, Lulit Tesfaye and Jess DeMay presented “The Evolution of Knowledge Management (KM) & Organizational Roles: Integrating KM, Data Management, and Enterprise AI through a Semantic Layer.” The session examined how KM … 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
The Semantic Exchange: A Semantic Layer to Enable Risk Management at a Multinational Bank
Enterprise Knowledge is continuing our new webinar series, The Semantic Exchange with the fourth session. This session is designed for a variety of audiences, ranging from those working in the semantic space as taxonomists or ontologists, to folks who are … Continue reading
The Semantic Exchange: Metadata Within the Semantic Layer
Enterprise Knowledge is pleased to introduce a new webinar series, The Semantic Exchange. This session is the third of a five part series where we invite fellow practitioners to tune in and hear more about work we’ve published from the … 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
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
Tesfaye and DeMay Speaking at Knowledge Summit Dublin 2025
Enterprise Knowledge’s Lulit Tesfaye, Partner and Vice President of Knowledge and Data Services, and Jess DeMay, Knowledge Management Consultant, will co-present a session titled “The Evolution of Knowledge Management & Organizational Roles: Integrating KM, Data Management, and Enterprise AI through … 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
Semantic Layer Strategy for Linked Data Investigations
A government organization sought to more effectively exploit their breadth of data generated by investigation activity of criminal networks for comprehensive case building and threat trend analysis. EK engaged with the client to develop a strategy and product vision for their semantic solution, paired with foundational semantic data models for meaningful data categorization and linking, architecture designs and tool recommendations for integrating and leveraging graph data, and entitlements designs for adhering to complex security standards. Continue reading