Content related to Fernando Aguilar Islas and Emily Crockett to Present Webinar on Content Graphs for Personalization
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
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
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
OmnichannelX 2021: How to Make Content a Maintainable Business Asset Through Structuring and Tagging
This presentation was delivered by Yanko Ivanov, Principal Solution Consultant, on June 9th at the international OmnichannelX 2021 web conference. In the presentation, Ivanov explores how componentized content combined with a rich taxonomy and ontology model enables a dramatic increase … 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