Blog Archives

Knowledge Capture and Transfer Series – Part 1: Getting Knowledge Capture and Transfer Right

Organizations are constantly generating new knowledge and enhancing existing knowledge in pursuit of their objectives. However, much critical knowledge is never captured. It remains inside people’s heads, isolated and undiscoverable. This leads organizations to suffer from a type of corporate … 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

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

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

The Importance of Agility During The Great Resignation (Part I: Retention)

With more people than ever leaving their jobs, Agile teams can encourage retention and attract the right talent. Introduction People are still leaving their jobs, and in record numbers. According to Willis Towers Watson’s 2022 Global Benefits Attitudes Survey, a … 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