Content related to Designing IA for AI: Information Architecture Conference 2024
Scaling Knowledge Graph Architectures with AI
Sara Nash and Urmi Majumder, Principal Consultants at Enterprise Knowledge, presented “Scaling Knowledge Graph Architectures with AI” on November 9th, 2023 at KM World in Washington D.C. In this presentation, Sara and Urmi defined a Knowledge Graph architecture and reviewed … Continue reading
4 Critical Elements of a Successful Data Governance Program
Without a strong data governance framework, maintaining your organization’s data can become an unwieldy challenge: with unclean, decentralized data, staff may begin to lose trust and confidence in the information they are working with. If you’re unsure where to start, … 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
The Journey of Data: From Raw Numbers to Actionable Insights with LLMs
Wondering how to take your data from its raw, decontextualized state and actually leverage it to produce actionable insights through the power of a Large Language Model (LLM)? The infographic below provides a visual overview of the 10 steps to … 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