Presentation

Content related to Taxonomy Alignment for SDG Tagging

Knowledge Cast – Mike Ferguson, CEO of Intelligent Business Strategies

Enterprise Knowledge’s Lulit Tesfaye, VP of Knowledge & Data Services, speaks with Mike Ferguson, CEO of Intelligent Business Strategies and Conference Chair of Big Data LDN, the largest data and analytics conference in Europe. With over 40 years of experience … Continue reading

Enterprises, KM, & AI: From Fragmented Knowledge to Intelligent Systems

In the session “Enterprises, KM, & AI: From Fragmented Knowledge to Intelligent Systems,” Jess DeMay (Enterprise Knowledge) and Rachel Teague (Emory Consulting LLC.) co-presented at KMWorld 2025, exploring how organizations can evolve from disconnected information environments into intelligent and adaptive … Continue reading

Taxonomist Role in the New World of Generative AI

We have been at the forefront of implementing generative technologies to augment traditional taxonomy workflows offering new capabilities for content modeling, classification, and semantic enrichment. This raises an important question for practitioners: What are the implications of Generative AI for … Continue reading

The Cost of Missing Critical Connections in Data: Suspicious Behavior Detection using Link Analysis

Graph-powered link analysis, combined with natural language processing (NLP), offers a powerful approach to identifying complex patterns and trends within extensive and complex datasets, especially unstructured data like emails, documents, and social media. By modeling data as interconnected entities and … Continue reading

A Healthier Knowledge Platform: Taxonomy Principles to Support Knowledge Management at a Not-for-Profit

Would your organization benefit from “healthier” knowledge management practices? Learn more about how the YMCA of the USA improved the health of key internal tools.  During their presentation, “Taxonomy Principles to Support Knowledge Management at a Not-for-Profit” at KMWorld’s Taxonomy … Continue reading

How to Design Taxonomies that Reflect Organizational Differences, For Humans and AI

One of the key steps to prepare your content and data for AI is developing taxonomies that identify, organize, and define the terms used in the organization in order to better structure and contextualize knowledge assets for use in AI … Continue reading

How Taxonomies and Ontologies Enable Explainable AI

Taxonomy and ontology models are essential to unlocking the value of knowledge assets. They provide the structure needed to connect fragmented information across an organization, enabling explainable AI. As part of a broader Knowledge Intelligence (KI) strategy, these models help … Continue reading

How to Leverage LLMs for Auto-tagging & Content Enrichment

When working with organizations on key data and knowledge management initiatives, we’ve often noticed that a roadblock is the lack of quality (relevant, meaningful, or up-to-date) existing content an organization has. Stakeholders may be excited to get started with advanced … Continue reading