Knowledge Base - Enterprise Knowledge

Leveraging a Semantic Layer for Research Curation and Conversational Experiences

EK Team . March 18, 2026 . Case Study

The Challenge A global philanthropic organization focused on health programs struggled to fully leverage knowledge from semi-structured and unstructured documents. Specifically, within a health-related funding program, researchers lacked access to key qualitative data from end-user surveys and transcripts. Consequently, they … Continue reading

Building the Semantic Layer: Scaling Enterprise Intelligence at a Global Investment Firm

EK Team . March 11, 2026 . Case Study

The Challenge A global investment firm with a $330 billion dollar portfolio and 50,000+ employees struggled with fragmented data. Investment professionals were losing critical time hunting for assets across disconnected systems. Detailed deal records were scattered as a mix of … Continue reading

GraphRAG in the Enterprise

Kaleb Schultz . March 5, 2026 . Blog

Retrieval-Augmented Generation (RAG) is a commonly utilized pattern for grounding large language models in enterprise data. Instead of solely relying on a model’s training, RAG collects relevant information from internal sources, documents, knowledge bases, and other systems; it then uses … Continue reading

Optimizing Historical Knowledge Retrieval: Extracting Knowledge by Making Connections

EK Team . February 4, 2026 . Case Study

The Challenge From POC to Production A Federally Funded Research and Development Center (FFRDC) faced significant challenges with low-quality or incomplete metadata for managing and cataloging scientific reports, hindering researchers’ ability to parse repositories and efficiently discover relevant content. As … Continue reading

What Are Explainable AI Knowledge Portals and Why Do You Need Them?

Joe Hilger . February 3, 2026 . Blog

Knowledge Portals first came into prominence in the early 2000s. These initial portals were a collection of static links to information on everything from HR systems to company policies and communications. It was a single location to access the systems … Continue reading

Graph Database Evaluation for a Financial Services Firm

EK Team . February 2, 2026 . Case Study

A financial services firm built a mature graph data ecosystem, but the graph database they selected originally did not scale as multiple business-critical solutions relied on graph data. As application and business teams across multiple stakeholder groups expanded usage … Continue reading

Taxonomy Alignment for SDG Tagging

Ben Kass . January 28, 2026 . Presentation

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

Lulit Tesfaye . January 22, 2026 . Podcast

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

Jess DeMay . January 15, 2026 . Presentation

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

Urmi Majumder . Kyle Garcia . January 9, 2026 . Presentation

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