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Presentation: Introduction to Knowledge Graphs

This workshop presentation from Joe Hilger, Founder and COO, and Sara Nash, Technical Analyst, was delivered on June 8, 2020 as part of the Data Summit 2020 virtual conference. The 3-hour workshop provided an interdisciplinary group of participants with a … Continue reading »

Natural Language Processing and Taxonomy Design

Natural Language Processing (NLP) is a branch of artificial intelligence (AI) that processes and analyzes human language found in text. Some of the exciting capabilities that NLP offers includes parsing out the significant entities in content through a statistical analysis … Continue reading »

Applying The Five Laws of Library Science to your Next Taxonomy or Digital Product

The rate at which we are producing new information is unprecedented. Each year our ability to capture and create information becomes easier. As a result, the need to find information becomes more and more important. Designing the structure of information … Continue reading »

Give the People What They Want – An Approach to Thoughtful KM Technology

Presented by Todd Fahlberg, Knowledge Management Consultant, on May 19, 2020. Implementing a meaningful Knowledge Management technology brings many levels of challenges, even in the most innovative, user-centric organizations. In this session, Todd Fahlberg shares proven practices on how to … Continue reading »

Building a Semantic Enterprise Architecture

The EK Difference Using a hybrid analysis approach, consisting of a combination of user-driven research (facilitated workshops, focus groups, and interviews) and technology-driven research (in-depth analysis of the existing technology), EK captured the current Enterprise Architecture using our Semantic Enterprise … Continue reading »

Enterprise AI Trends in 2020

Enterprise Artificial Intelligence (AI) entails leveraging machine capabilities to discover and deliver organizational knowledge and information in a way that closely aligns with how users look for and process information. The number of Enterprise AI applications is rapidly growing. Previously, … Continue reading »