Content related to Expert Analysis: Top 5 Considerations When Building a Modern Knowledge Portal
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
Knowledge Portal Architecture Explained
At its core, a Knowledge Portal consists of five components: Web UI, API Layer, Enterprise Search Engine, Knowledge Graph, and Taxonomy/Ontology Management System. 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
Semantic LLM Accelerator
With the right context, Large Language Models (LLMs) can be a powerful tool to accelerate enterprise digital transformations. Knowledge graphs provide that enterprise context, giving organizations the ability to understand and trust LLMs to take advantage of their powerful applications. … 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
How a Knowledge Graph Supports AI: Technical Considerations
In 2023, ChatGPT’s explosive popularity made Artificial Intelligence (AI) language models a household name. In essence, these models are a key component of natural language processing (NLP), a field of AI, focused on enabling computers to understand and generate human … Continue reading
Recommendation Engine Automatically Connecting Learning Content & Product Data
The EK Difference EK’s hallmark is rooted in the proficiency of advanced AI and knowledge graph technologies, as well as our profound commitment to client relationships. Working closely with the company’s content and data teams, EK displayed a robust understanding … Continue reading