Content related to Knowledge Capture & Knowledge Transfer

How a Knowledge Graph Supports AI: Technical Considerations

In 2023, ChatGPT’s explosive popularity made Artificial Intelligence (AI) language models a household name. In essence, these models are a key component of natural language processing (NLP), a field of AI, focused on enabling computers to understand and generate human … Continue reading

Recommendation Engine Automatically Connecting Learning Content & Product Data

The EK Difference EK’s hallmark is rooted in the proficiency of advanced AI and knowledge graph technologies, as well as our profound commitment to client relationships. Working closely with the company’s content and data teams, EK displayed a robust understanding … Continue reading

What is A Data Fabric Architecture and What Are The Design Considerations?

Introduction In today’s data-driven world, effective data management is crucial for businesses to remain competitive. A modern approach to data management is the use of data fabric architecture. A data fabric is a data management solution that connects and manages … Continue reading

The Difference Between Communities of Practice (CoP), Special Interest Groups (SIG), Employee Resource Groups (ERG), and Centers of Excellence (CoE)

Communities of Practice (CoPs) have been a long-standing tool in the knowledge manager’s toolbox as a way to foster learning, drive innovation, and capture institutional knowledge. But how do CoPs differ from other organizational community programs? Within any given organization, … Continue reading

When a Knowledge Portal Becomes a Learning and Performance Portal

EK’s CEO,  Zach Wahl, previously published Knowledge Portals Revisited, a blog that spells out an integrated suite of systems that actually puts users’ needs at the center of a knowledge management solution. We’ve long acknowledged that content may need to … Continue reading