Case Study

Content related to System Migration and Enterprise Search Design Powered by Enterprise Taxonomy, Automated Tagging, and Content Governance

The Role of Ontologies with LLMs

In today’s world, the capabilities of artificial intelligence (AI) and large language models (LLMs) have generated widespread excitement. Recent advancements have made natural language use cases, like chatbots and semantic search, more feasible for organizations. However, many people don’t understand … Continue reading

Taxonomy Roller Coasters: Techniques to Keep Stakeholders on the Ride

Laurie Gray, Principal Consultant on Enterprise Knowledge’s Strategy team, and EK client Kate Vilches, Knowledge Management Lead at Ulteig, presented on November 6, 2022 at the Taxonomy Boot Camp Conference, co-located with KMWorld, in Washington, D.C. The talk, “Taxonomy Roller … Continue reading

QA for Personalized Content

We’ve all sifted through dense technical documentation which has way too much detail about features and products that aren’t even relevant to us – just to get to that one nugget of information we’re actually looking for (often on page … Continue reading

Content Engineering for Personalized Product Release Notes

The Challenge A global software vendor with a vast portfolio of cloud software products needed to deliver more personalized, timely, and relevant release notes of upcoming product changes in a continuous implementation, continuous delivery (CI/CD) environment to both internal and … Continue reading

KM Fast Track to Search-Focused AI Solutions

In today’s rapidly evolving digital landscape, the ability to quickly locate and connect critical information is key to organizational success. As organizations struggle with ever-expanding datasets and information silos, the need for effective search-focused artificial intelligence (AI) solutions becomes vital. … Continue reading

5 Steps For Building Your Enterprise Semantic Recommendation Engine

In today’s digital landscape, where content overload is a constant challenge, recommendation engines (also known as personalized content recommenders, or just “recommenders”) have emerged as powerful solutions that help users cut through the noise and discover relevant information. These intelligent … Continue reading