Content related to EK’s Tesfaye and Hedden to Speak at the Henry Stewart Semantic Data New York Event
Content Management Strategy for an International Retailer
The Challenge The learning team for an international retailer struggled to find and discover the knowledge resources that supported their work and their online learning solutions. The retailer’s learning team used an abundance of manual templates and processes, along with … Continue reading
Breaking it down: What is a Taxonomy?
A few years ago, I did an activity at a leadership retreat where each person slowly whittled down a list of words to a single word that most represented them. The word that I ended up with was “simplicity,” and … Continue reading
User-Centric Content Engineering to Improve Customer Experience
The Challenge A global financial firm needed to improve the user experience (UX) for its technical support documentation hub. Prior to EK’s involvement, the client company received user feedback expressing that interacting with the technical support documentation was cumbersome. Only … Continue reading
Expert Analysis: When should my organization use auto-tagging? Part One
As EK works with our clients to design data models, including taxonomies and knowledge graphs, we often implement corresponding auto-tagging solutions to augment the organization and enrichment of unstructured content. In this blog series, two of our senior technical consultants, … Continue reading
The Value of Data Catalogs for Data Scientists
Introduction After the Harvard Business Review called Data Scientist the sexiest job of the 21st century in 2012, much attention went into the interdisciplinary field of data science. Students and professionals were curious to know more about what data scientists … Continue reading
Why Invest in a Knowledge Graph? Your Digital Transformation and Enterprise AI Initiatives Depend on It
The scope and success for digital transformations and advanced enterprise solutions is driven by a few factors, namely, defined use cases, available data, and people and SMEs. For many organizations, the biggest hurdle is knowing where to start. Starting with … Continue reading
Better Practices for Collaborative Knowledge Graph Modeling
As the scale and scope of the modern data ecosystem grows, we at EK see an increasing number of enterprises recognizing the potential for ontologies to make their data findable and usable throughout the organization. An ontology can provide robust … Continue reading
How to Quickly Prototype a Scalable Graph Architecture: A Framework for Rapid Knowledge Graph Implementation
Sara Nash and Thomas Mitrevski, Consultants in Enterprise Knowedge’s Data and Information Management Division presented on May 4, 2022 at the Knowledge Graph Conference in New York City. The talk focused on How to Quickly Prototype a Scalable Graph Architecture: … Continue reading
Digital Twins and Knowledge Graphs
Enterprise knowledge graphs are one of the fastest growing trends in knowledge management. Their intuitive and flexible structure, combined with their emphasis on relationships between entities, make knowledge graphs a natural fit for use cases that require aggregating content from … Continue reading
What Software Engineering Can Teach Knowledge Engineers about Version Control
Information models like taxonomies and ontologies are rarely built independently, and they are never static. At EK, knowledge engineers partner with clients to build these models through an iterative process of design, validation, and implementation. The models that come out … Continue reading