Content related to The Minimum Requirements To Consider Something a Semantic Layer
What are the Different Types of Graphs? The Most Common Misconceptions and Understanding Their Applications
Over 80% of enterprise data remains unstructured, and with the rise of artificial intelligence (AI), traditional relational databases are becoming less effective at capturing the richness of organizational knowledge assets, institutional knowledge, and interconnected data. In modern enterprise data solutions, … Continue reading
Incorporating Unified Entitlements in a Knowledge Portal
Recently, we have had a great deal of success developing a certain breed of application for our customers—Knowledge Portals. These knowledge-centric applications holistically connect an organization’s information—its data, content, people and knowledge—from disparate source systems. These portals provide a “single … Continue reading
How a Semantic Layer Transforms Engineering Research Industry Challenges
To drive future innovation, research organizations increasingly seek to develop advanced platforms that enhance the findability and connectivity of their knowledge, data, and content–empowering more efficient and impactful R&D efforts. However, many face challenges due to decentralized information systems, where … Continue reading
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 database. However, within the world of graph databases, there are a variety of syntaxes 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, Hilger and Thompson explored the evolving challenges of securing … Continue reading