Blog Archives
Knowledge Capture and Transfer Series – Part 2: Capturing Tacit Knowledge
Organizations often lack a disciplined way to leverage the learnings and experience that their staff have acquired throughout their tenure and past experiences, and they only pay attention to this issue once it becomes too big to ignore. Examples of … 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
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
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
Getting Started With Data Cleanup and Data Management
At EK, many of the challenges we hear about revolve around data – no matter the company’s size or industry. Without clean, centralized data, staff may begin to lose trust and confidence in the information they are working with. They … 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
Managing Disparate Learning Content
The move toward hybrid work plans, along with the huge number of employees that are changing jobs, has elevated the importance of content transformation from event-based learning to personalized learning. Leading organizations recognize that training is critical to making employees … Continue reading