Content related to AI & Taxonomy: the Good and the Bad
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
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, Nash and Majumder defined a Knowledge Graph architecture and reviewed … 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
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
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
Five Ways to Demonstrate the Value of KM [In the Age of AI]
Knowledge management (KM) is steadily growing beyond its traditional role of providing the framework for sharing, using, and managing the knowledge and information of an organization: it now also serves as the foundation for advancements in Artificial Intelligence (AI). We … Continue reading
Top 5 Tips for Managing and Versioning an Ontology
Sometimes, clients who come to EK confident in their ontology development capabilities find themselves wrongfooted when it comes to creating an ontology management plan. This is partly a result of documentation – there are a wide variety of resources on … Continue reading
Expert Analysis: How Does My Organization Use Auto-tagging Effectively? Part Two
In part one of this series, James Midkiff and Sara Duane, senior technical consultants at EK, discussed what auto-tagging is and when an organization should use it. This blog will discuss auto-tagging best practices to answer the foundational question, “How … Continue reading