Content related to How Data Scientists Find Relevant Data with a Data Knowledge Graph
JPL’s Institutional Knowledge Graph II: A Foundation for Constructing Enterprise and Domain-Specific Semantic Data Sets
Previously at KMWorld 2021, EK joined JPL to share the vision, approach, and delivery of the Institutional Knowledge Graph (IKG), a centrally maintained, ever-evolving knowledge graph identifying and describing JPL’s enterprise-wide concepts, such as people, organizations, projects, and facilities, and … Continue reading
Elevating Your Point Solution to an Enterprise Knowledge Graph
I am fortunate to be able to speak with many vendors in the Graph space, as well as company executives and leaders in IT and KM departments around the world. So many of these people are excited about the power … Continue reading
Jumpstarting Your Semantic Solution Design with UML Diagrams
Where do I start? Whether it be a taxonomy, an ontology, or a knowledge graph, this is a common question that we get from clients when they are beginning their scoping journey. We get it. It is difficult to define … Continue reading
Technology Solution Recommendation for a Global Development Firm
The Challenge A global development firm with thousands of employees and projects across the world was struggling with their content management strategy. Specifically, they were dealing with inefficient processes and outdated technology. This resulted in wasted time and frustration from … Continue reading
Optimizing Your Taxonomy in SharePoint Online: Search Filters
All too often, clients come to Enterprise Knowledge (EK) with the issue that “we cannot find anything in our SharePoint sites.” Because of its highly configurable nature, SharePoint can quickly become the wild west of your organization if it is … Continue reading
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
Constructing KM Technology: Tips for Implementing Your KM Technology Solutions
In the digital age that we now live in, making Knowledge Management (KM) successful at any organization relies heavily on the technologies used to accomplish every day tasks. Companies are recognizing the importance of providing their workforce with smarter, more … Continue reading
Three Pillars of Successful Data Catalog Adoption
Data catalogs function as a central library of information about content and data across an enterprise, making them a useful metadata management tool. They can aid organizations that struggle with poorly documented metadata, duplicated data work, and wasted time due … 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
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