A Day In the Life

Content related to Nina

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

Translating AI from Concept to Reality: Five Keys to Implementing AI for Knowledge, Content, and Data

Lulit Tesfaye, a Partner and Director for Enterprise Knowledge’s Data and Information Management Division, presented on April 07, 2022 at the data.world Spring Virtual Summit 2022 on the topic of Translating AI from Concept to Reality: Five Keys to Implementing … Continue reading

Advanced Learning for the Enterprise

I’ve recently been expressing how pleased I am with the trend of Knowledge Management and Learning functions coming together. There’s a lot to like about this merger of two disciplines. At its core, KM should always serve as an enabling … Continue reading

Knowledge Cast Product Spotlight – Michael Andrews of Kentico

In this episode of the Knowledge Cast, Joe Hilger speaks with Michael Andrews, Content Strategy Evangelist at Kentico. Kentico is a global software vendor with two award-winning products, Kontent and Xperience. Michael has been at Kentico since 2019 and focuses … Continue reading

A Data Scientist Perspective on Knowledge Graphs (Part 1): the Data-Driven Challenge

Photographer: Johannes Plenio This series of articles is a data scientist, and data engineer, perspective on knowledge graphs, which is intended not only for other data scientists and engineers, the nerdy role in the office that no one truly understands; … Continue reading