Content related to Knowledge Capture & Knowledge Transfer
Knowledge Cast – Rachad Najjar of GE Vernova
Enterprise Knowledge CEO Zach Wahl speaks with Rachad Najjar, Organizational Learning Leader at GE Vernova. GE Vernova brings together GE’s portfolio of energy businesses including Power, Wind, Electrification and Digital businesses. In their conversation, Zach and Rachad cover creating adaptive … Continue reading
Webinar: Defining the Semantic Layer Webinar
In this webinar, Enterprise Knowledge’s Lulit Tesfaye and Sara Nash discuss defining the semantic layer. They introduce the fundamental concepts of a Semantic Layer, and then provide valuable insights into defining and utilizing a semantic layer to revolutionize data management, … Continue reading
What Every CEO Needs to Know About Semantic Layers
Recently, we at Enterprise Knowledge have been talking a lot about Semantic Layers, defining what they are, and even what they aren’t. We’ve detailed the various technical components and the business value of each, presented logical diagrams, and identified many … Continue reading
Dynamic Content
Creating high-quality content quickly and efficiently requires thinking of your content not as a web page or PDF but as a set of flexible, reusable building blocks that can be assembled into the format that meets your employees’ or customers’ needs. A dynamic content model leverages those reusable components to build personalized experiences. Continue reading
Breaking Down Enterprise AI, Part I: Insight Track
2023 was an incredibly exciting year for artificial intelligence. Several technology trends – distributed computing, transformer models, and large repositories of data – converged to produce powerful generative AI products like ChatGPT and Midjourney. These products have helped generate excitement … Continue reading
What Isn’t a Semantic Layer?
Semantic layers allow organizations to embed context with their organizational data in a way that is systematically interoperable and intuitive to business users. With developments in data and AI, there is a compelling need (and opportunity) for semantic layer development, … Continue reading
What is a Large Language Model (LLM)?
In late November of 2022, artificial intelligence (AI) research and development company OpenAI released ChatGPT, an AI chatbot powered by a Large Language Model (LLM). In the following year, the world witnessed a meteoric rise in the usage of … Continue reading
How to Prepare Content for AI
Artificial Intelligence (AI) enables organizations to leverage and manage their content in exciting new ways, from chatbots and content summarization to auto-tagging and personalization. Most organizations have a copious amount of content and are looking to use AI to improve … Continue reading
Extending Taxonomies to Ontologies
Sometimes the words “taxonomy” and “ontology” are used interchangeably, and while they are closely related, they are not the same thing. They are both considered kinds of knowledge organization systems to support information and knowledge management. Yet there is often … Continue reading
Graph Machine Learning Recommender POC for Public Safety Agency
The Challenge A government agency responsible for regulating and enforcing occupational safety sought to build a content recommender proof-of-concept (POC) that leverages semantic technologies to model the relevant workplace safety domains. The agency aimed to optimize project planning and construction … Continue reading