Blog Archives
Knowledge Capture and Transfer Series – Part 3: Capturing Explicit Knowledge
Even though explicit knowledge refers to knowledge that has already been captured and documented somewhere in the organization, this doesn’t mean that all organizations capture their explicit knowledge in locations or formats that are easy to use. Indeed, a lot … 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
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