Content related to How to Prepare Content for AI
Improving Learning Content Efficiency with Reusable Learning Content
Enterprise Knowledge’s Emily Crockett, Content Engineering Consultant, presented “Improve Learning Content Efficiency with Reusable Learning Content” at the Learning Ideas Conference on June 13th, 2024. This presentation explored the basics of reusable learning content, including the types of reuse and … Continue reading
The Metadata Knowledge Graph
Modern data landscapes are characterized by immense volumes of diverse, disparate, and dynamic data sources, leaving many organizations struggling to effectively manage and derive value from their data assets. To address these challenges, a metadata knowledge graph serves as a … Continue reading
A Tale of Two Semantic Layers
In the rapidly evolving landscape of information and data management, the term Semantic Layer is increasingly utilized to describe two different types of ‘layers’ in the modern data stack. The first Semantic Layer is focused on enabling centralized analytics within … Continue reading
Building a Semantic Layer of your Data Platform
Enterprise Knowledge’s Joe Hilger, COO, and Sara Nash, Principal Consultant, presented “Building a Semantic Layer of your Data Platform” at Data Summit Workshop on May 7th, 2024 in Boston, Massachusetts. This presentation delved into the importance of the semantic layer … Continue reading
Analyzing and Optimizing Content for the Semantic Layer
As I wrote in my previous post, Adding Context to Content in the Semantic Layer, the organizational challenge of effectively generating, managing, and distributing content can be addressed by integrating content into a semantic layer. The semantic layer enriches the … Continue reading
The Role of AI in the Semantic Layer
Two significant recent trends in knowledge management, artificial intelligence (AI) and the semantic layer, are reshaping the way organizations interact with their data and leverage it to derive actionable insights. Taking advantage of the interplay between AI and the semantic … Continue reading
Dynamic Product Content to Improve Marketing Operations
Enterprise Knowledge (EK) helps a federal research and development center standardize their descriptive metadata to support content findability. Continue reading
Enterprise Knowledge Graphs: The Importance of Semantics
Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “Enterprise Knowledge Graphs: The Importance of Semantics” on May 9, 2024, at the annual Data Summit in Boston. In her presentation, Hedden describes the components of an enterprise knowledge graph and provides … Continue reading
Adding Context to Content in the Semantic Layer
Content is a critical organizational asset. Whether product documentation, sales and marketing materials, industry rules and regulations, employee policies, or learning materials, content forms the backbone of operations, decision-making, and end-user experiences. Organizations are challenged to generate content and structure … Continue reading
Knowledge Cast Product Spotlight – Sana Remekie of Conscia
Enterprise Knowledge COO Joe Hilger speaks with Sana Remekie, CEO and Co-founder of Conscia.ai. Conscia re-imagines the future of enterprise technology with a practical solution — a low/no-code Digital Experience Orchestration layer (DXO), designed to seamlessly knit together legacy and … Continue reading