Content related to How Leveraging Existing Taxonomies Can Jumpstart Ontology Design
What Team Do You Need for Successful Knowledge Graph Development?
Many organizations look to take advantage of knowledge graphs to aggregate and align data from siloed systems, as well as enable explainable artificial intelligence solutions, but can get stalled if they don’t have enough experience building and scaling knowledge graphs. … Continue reading
Why Your Data Fabric Needs an Enterprise Ontology
In today’s rapidly growing and evolving data environment, it is increasingly difficult for organizations to get maximal value from the full breadth of their data. As more data is produced faster by more sources, it is difficult for analysts, data … Continue reading
Learning 360: Crafting a Comprehensive View of Learning Content Using a Graph
Chris Marino, a Principal Solution Consultant at Enterprise Knowledge (EK), was a featured speaker at this year’s Data Architecture Online event organized by Dataversity. Marino presented his webinar “Learning 360: Crafting a Comprehensive View of Learning Content Using a Graph” … Continue reading
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