Content related to Generative AI-Assisted Taxonomy Development for a Global Investment Bank
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
A Semantic Data Fabric with Federated Governance for Data Standardization
The Solution To enable the adoption of standardized data across the organization, EK spearheaded the design and development of an enterprise ontology, defining key data elements describing the core financial activities the client performs for millions of customers as well … Continue reading
Identifying Security Risks Using Auto-Tagging and Text Analytics
On Thursday, November 10, Joe Hilger and Sara Duane spoke at Text Analytics Forum about identifying secure and confidential information using auto-tagging. Information security continues to grow in importance in today’s society. We hear stories all of the time about … Continue reading
Taxonomy in the Age of Personalization
Zach Wahl and Sara Mae O’Brien-Scott spoke at the 2022 Taxonomy Boot Camp in Washington, D.C. on taxonomy’s critical role in delivering what every end user now expects—a seamless and personalized experience. Personalization is harnessed by the most successful organizations to … Continue reading
Climbing the Ontology Mountain to Achieve a Successful Knowledge Graph
Tatiana Baquero Cakici, Senior KM Consultant, and Jennifer Doughty, Senior Solution Consultant from Enterprise Knowledge’s Data and Information Management (DIME) Division presented at the Taxonomy Boot Camp (KMWorld 2022) on November 17, 2022. KMWorld is the world’s leading knowledge management … Continue reading