Blog Archives
Sara Nash Presenting at Data Architecture Online
Sara Nash, Principal Consultant at Enterprise Knowledge, will be moderating the keynote session titled “Data Architecture for AI” at Data Architecture Online’s annual event on Wednesday, July 23rd at 11:30am EST. Through this session, attendees will gain valuable insights into … Continue reading
The Semantic Exchange: Humanitarian Foundation – SemanticRAG POC
Enterprise Knowledge is concluding the first round of our new webinar series, The Semantic Exchange. In this webinar series, we follow a Q&A style to provide participants an opportunity to engage with our semantic design experts on a variety of … Continue reading
Semantic Graphs in Action: Bridging LPG and RDF Frameworks
Enterprise Knowledge is pleased to introduce a new webinar titled, Semantic Graphs in Action: Bridging LPG and RDF Frameworks. This webinar will bring together four EK experts on graph technologies to explore the differences, complementary aspects, and best practices of … Continue reading
Optimizing Historical Knowledge Retrieval: Leveraging an LLM for Content Cleanup
Enterprise Knowledge (EK) recently worked with a Federally Funded Research and Development Center (FFRDC) that was having difficulty retrieving relevant content in a large volume of archival scientific papers. Researchers were burdened with excessive search times and the potential for knowledge loss … 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
What is a Knowledge Asset?
Over the course of Enterprise Knowledge’s history, we have been in the business of connecting an organization’s information and data, ensuring it is findable and discoverable, and enriching it to be more useful to both humans and AI. Though use … Continue reading
Beyond Traditional Machine Learning: Unlocking the Power of Graph Machine Learning
Traditional machine learning (ML) workflows have proven effective in a wide variety of use cases, from image classification to fraud detection. However, traditional ML leaves relationships between data points to be inferred by the model, which can limit its ability … Continue reading
Enhancing Insurance Fraud Detection through Graph-Based Link Analysis
A national agency overseeing insurance claims engaged EK to advise on developing and implementing graph-based analytics to support fraud detection. EK applied key concepts such as knowledge graphs, graph-based link analysis for detecting potentially suspicious behavior, and the underlying technology architecture required to instantiate a fully functional solution at the agency to address client challenges. Continue reading
Enterprise Artificial Intelligence (e-AI)
AI Foundational Strategy Enterprise AI (e-AI) is more than data science, machine learning (ML), or large language models (LLMs). It uses knowledge Intelligence solutions to identify well-defined business problems, promote organizational context, support reliable data, harness diverse skill sets, and … Continue reading
Enhancing Taxonomy Management Through Knowledge Intelligence
In today’s data-driven world, managing taxonomies has become increasingly complex, requiring a balance between precision and usability. The Knowledge Intelligence (KI) framework – a strategic integration of human expertise, AI capabilities, and organizational knowledge assets – offers a transformative approach … Continue reading