Content related to How Data Scientists Find Relevant Data with a Data Knowledge Graph
Leveraging Headless CMS for Technical Cross-Functionality
Headless CMS (Content Management System) architecture is a flexible development strategy for applications that is rapidly growing in today’s industry practices. Utilizing a headless CMS architecture allows an application to deliver content authored from a single interface to multiple delivery … 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
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
6 Key Considerations for Implementing a KM System
Enterprise Knowledge (EK) commonly engages with organizations that are seeking to improve their existing Knowledge Management (KM) technology stack and, in turn, desire a new solution that is better suited to their technical and business requirements. There are several possible … Continue reading
Knowledge Cast Product Spotlight – Micah Peterson of ProcedureFlow
In this episode of the Knowledge Cast, Joe Hilger speaks with Micah Peterson, VP of Product Management at ProcedureFlow. Micah is a knowledge management expert and enthusiast, and has been helping companies transform their knowledge management for more than 15 … 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