Content related to Adding Context to Content in the Semantic Layer
Top Knowledge Management Trends – 2026
Since 2019, I’ve been authoring an annual KM Trends article. This article tends to be one of the most important and challenging that Enterprise Knowledge produces each year, and rightly should be listed as a coauthorship with many of my … Continue reading
Taxonomy Alignment for SDG Tagging
In the session “Utilizing Taxonomies to Meet UN SDG Obligations“ co-presented at KMWorld 2025 on November 17th, Enterprise Knowledge’s Ben Kass and ASHA’s Mike Cannon discuss how they structured taxonomies within an ongoing auto-tagging implementation to serve content management and … Continue reading
Knowledge Cast – Mike Ferguson, CEO of Intelligent Business Strategies
Enterprise Knowledge’s Lulit Tesfaye, VP of Knowledge & Data Services, speaks with Mike Ferguson, CEO of Intelligent Business Strategies and Conference Chair of Big Data LDN, the largest data and analytics conference in Europe. With over 40 years of experience … Continue reading
Enterprises, KM, & AI: From Fragmented Knowledge to Intelligent Systems
In the session “Enterprises, KM, & AI: From Fragmented Knowledge to Intelligent Systems,” Jess DeMay (Enterprise Knowledge) and Rachel Teague (Emory Consulting LLC.) co-presented at KMWorld 2025, exploring how organizations can evolve from disconnected information environments into intelligent and adaptive … Continue reading
The Cost of Missing Critical Connections in Data: Suspicious Behavior Detection using Link Analysis
Graph-powered link analysis, combined with natural language processing (NLP), offers a powerful approach to identifying complex patterns and trends within extensive and complex datasets, especially unstructured data like emails, documents, and social media. By modeling data as interconnected entities and … Continue reading
Generating Structured Outputs from Unstructured Content Using LLMs
Long, unstructured documents can be difficult to find, manage, and work with for both people and AI. A clear structure is essential for transforming and dividing disorganized content into smaller, usable, and more valuable information assets. A well-formed content structure … Continue reading
Content Engineering to Improve AI Readiness for a Financial Institution’s Customer Service Center
A well-known financial institution faced challenges in providing frictionless, personalized service to customers due to widespread issues with knowledge base content. Due to outdated legacy systems, both agents and customers experienced difficulties finding and using content; similarly, internal content management teams struggled to maintain and update both agent-facing and customer-facing content … Continue reading
Semantic Layer Symposium 2025: Takeaways and Looking Ahead at Semantic Layers and AI
In October of this year, Enterprise Knowledge held our annual Semantic Layer Symposium (SLS) in Copenhagen, Denmark, bringing together industry thought leaders, data experts, and practitioners to explore the transformative potential, and reflect on the successful implementation, of semantic layers. … Continue reading
Knowledge Cast – Ole Olesen-Bagneux, Vice President & Chief Evangelist at Actian
Enterprise Knowledge’s Lulit Tesfaye, VP of Knowledge & Data Services, speaks with Ole Olesen-Bagneux, Vice President & Chief Evangelist at Actian. He is a twice-published author with a BA, MA, and PhD in Library and Information Science from the University … Continue reading
Semantic Layer Symposium 2025: The Rising Importance of Information Science in the World of Semantic Layers and Knowledge Graphs
In October of this year, Enterprise Knowledge held our annual Semantic Layer Symposium (SLS) in Copenhagen, Denmark, bringing together industry thought leaders, data experts, and practitioners to explore the transformative potential, and reflect on the successful implementation, of semantic layers. … Continue reading