Content related to Why Your Enterprise AI Projects Need a Product Manager
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
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
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
The Top 5 Reasons for a Semantic Layer
Implementing Semantic Layers has become a critical strategic plan for many of our most advanced data clients. A Semantic Layer connects all organizational knowledge assets, including content items (files, videos, media, etc.) via a well defined and standardized semantic framework. … Continue reading
Measuring the Value of your Semantic Layer: KPIs for Taxonomies, Ontologies, and Knowledge Graphs
Utilizing semantic applications in your business, such as an enterprise taxonomy, ontology, or knowledge graph, can increase efficiency, reduce cognitive load, and improve cohesion across the enterprise, among other benefits. While these benefits are extremely valuable they can be difficult … Continue reading
Knowledge Cast – Knowledge Summit Dublin 2024
In this episode of Knowledge Cast, Enterprise Knowledge CEO Zach Wahl speaks with guests Barry Byrne, Darryl Wing, Scott Leeb, and Bill Kaplan about Knowledge Summit Dublin 2024. In this discussion, the group speaks about the creation of the event, … Continue reading