A Course Recommendation System – Based on a Knowledge Graph
The Challenge A healthcare workforce solutions provider wanted to increase engagement and learning outcomes across their learning platform as part of an initiative to grow interactive and adaptive learning capabilities using cutting edge knowledge management and natural language processing techniques. … Continue reading
Project Cortex: At the Intersection of Microsoft 365 and Artificial Intelligence (AI)
Almost every major technology company around the globe is dedicating resources to develop some form of Artificial Intelligence (AI) capabilities to help organizations accelerate access to critical information, support faster decision making, optimize customer support processes, recommend content, and help … Continue reading
What’s the Difference Between an Ontology and a Knowledge Graph?
As semantic applications become increasingly hot topics in the industry, clients often come to EK asking about ontologies and knowledge graphs. Specifically, they want to know the differences between the two. Are ontologies and knowledge graphs the same thing? If … Continue reading
What is the Roadmap to Enterprise AI?
Artificial Intelligence technologies allow organizations to streamline processes, optimize logistics, drive engagement, and enhance predictability as the organizations themselves become more agile, experimental, and adaptable. To demystify the process of incorporating AI capabilities into your own enterprise, we broke it … Continue reading
Joe Hilger Chairing SEMANTiCs US Conference
Enterprise Knowledge is pleased to announce that COO, Joe Hilger, will be chairing SEMANTiCs US. For 15 years, the SEMANTiCS conference has served as the leading European conference on Semantic Technologies and AI. Researchers, industry experts, and business leaders have … Continue reading
Why a Knowledge Graph is the Best Way to Upgrade Your Taxonomy
Many organizations begin their journey in semantic solutions with a taxonomy. Taxonomies are simple information models that help organizations describe and structure their information in a hierarchy. They are effective for organizing content and data, but do not capture all … Continue reading
Four Key Components of Enterprise Knowledge Graphs
Enterprise knowledge graphs are an incredibly valuable tool for relating your structured and unstructured information, allowing you to easily obtain actionable insights from large amounts of information across your enterprise. An enterprise knowledge graph is also an important foundation for … Continue reading
How to Build a Knowledge Graph in Four Steps: The Roadmap From Metadata to AI
The scale and speed at which data and information are being generated today makes it challenging for organizations to effectively capture valuable insights from massive amounts of information and diverse sources. We rely on Google, Amazon, Alexa, and other chatbots … Continue reading
Using Knowledge Graph Data Models to Solve Real Business Problems
A successful business today must possess the capacity to quickly glean valuable insights from massive amounts of data and information coming from diverse sources. The scale and speed at which companies are generating data and information, however, often makes this … Continue reading
Increase the Re-Use of Knowledge Assets with Semantic Hubs
In my last blog, I discussed how knowledge graphs aggregate information from multiple systems to enable powerful search and discovery tools. A semantic hub (or semantic middleware) is a metadata-enhanced bridge that connects a knowledge graph to user-facing applications, helping … Continue reading