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
Expert Analysis: Reusable Learning Content
Most everyone in their career has had to sit through a training that was too general, too long, or too outdated. In this day and age people expect a more tailored experience and more flexibility in how they can learn…but … 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
Breaking it Down: What is an Ontology?
Happy Halloween! If I had to pick a word relating to my work that incites the most heated debates about its meaning and purpose, I would have to go with ontology. Let’s be honest, it sounds like a term that … Continue reading
Exploring Vector Search: Advantages and Disadvantages
The search for information is at the core of enhancing productivity and decision-making in the enterprise. In today’s digital age, searching for information has become more intuitive. With just a few clicks, we can explore vast knowledge and gain once-inaccessible … Continue reading
Secure LLM Powering Semantic Search for a Multinational Development Bank
The Challenge A multinational development bank with 48 member countries provides loans, grants, and technical assistance to its members for a wide range of development projects to reduce poverty and inequality in the region. The projects cover many topics, including … 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