Content related to The Minimum Requirements To Consider Something a Semantic Layer
AI & Taxonomy: the Good and the Bad
The recent popularity of new machine learning (ML) and artificial intelligence (AI) applications has disrupted a great deal of traditional data and knowledge management understanding and tooling. At EK, we have worked with a number of clients who have questions–how … Continue reading
Extracting Knowledge from Documents: Enabling Semantic Search for Pharmaceutical Research and Development
The Challenge A major pharmaceutical research and development company faced difficulty creating regulatory reports and files based on years of drug experimentation data. Their regulatory intelligence teams and drug development chemists spent dozens of hours searching through hundreds of thousands … Continue reading
Aligning an Enterprise-Wide Information Management (IM) Roadmap for a Global Energy Company
A global energy company sought support in detailing and aligning their information management (IM) team’s roadmaps for all four of their IM products – covering all managed applications, services, projects, and capabilities – to help them reach their target state vision of higher levels of productivity, more informed decision-making, and quality information made available to … Continue reading
The Resource Description Framework (RDF)
Simply defined, a knowledge graph is a network of entities, their attributes, and how they’re related to one another. While these networks can be captured and stored in a variety of formats, most implementations leverage a graph based tool or … Continue reading
Getting More Value Out of Your Content
Rebecca Wyatt, Partner and Division Director of Advanced Content Solutions at Enterprise Knowledge, presented “Getting More Value Out of Your Content” at CMS Connect 2024, brought by Boye & Co in Montreal, Canada, on August 6th, 2024. In this presentation, … Continue reading
Data Governance for Retrieval-Augmented Generation (RAG)
Retrieval-Augmented Generation (RAG) has emerged as a powerful approach for injecting organizational knowledge into enterprise AI systems. By combining the capabilities of large language models (LLMs) with access to relevant, up-to-date organizational information, RAG enables AI solutions to deliver context-aware, accurate, … Continue reading
Modern Methods for Managing Data Security
Enterprise Knowledge’s Joe Hilger, COO, and Ian Thompson, Technical Solutions Consultant, presented “Modern Methods for Managing Data Security” at CDOIQ in Boston, MA on Wednesday, July 17, 2024. In this presentation, Joe and Ian explored the evolving challenges of securing … Continue reading
Enterprise AI Architecture Series: How to Extract Knowledge from Unstructured Content (Part 2)
Our CEO, Zach Wahl, recently noted in his annual KM trends blog for 2025 that Knowledge Management (KM) and Artificial Intelligence (AI) are really two sides of the same coin, detailing this idea further in his seminal blog introducing the … Continue reading
Nurturing Knowledge – A Journey in Building a KM Program from Scratch: A Case Study
Today, non-profit organizations face the challenge of optimizing knowledge management to maximize resources and support decision-making. During this presentation “Nurturing Knowledge: A Journey in Building a KM Program from Scratch”, Jess DeMay (Enterprise Knowledge) and Jennifer Anna (WWF) shared a … Continue reading
Knowledge Cast – Ahren Lehnert at Nike
Enterprise Knowledge CEO Zach Wahl speaks with Ahren Lehnert, Principal Taxonomist at Nike. In this conversation, Zach and Ahren discuss the future of taxonomy and artificial intelligence (AI), emphasizing both the augmentation of traditional roles and growth to include new … Continue reading