Content related to Enhancing Taxonomy Management Through Knowledge Intelligence
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
Knowledge Cast Product Spotlight – Micah Peterson of ProcedureFlow
In this episode of the Knowledge Cast, Joe Hilger speaks with Micah Peterson, VP of Product Management at ProcedureFlow. Micah is a knowledge management expert and enthusiast, and has been helping companies transform their knowledge management for more than 15 … Continue reading
Knowledge Cast Product Spotlight – Joe Pairman of RWS Group
In this episode of the Knowledge Cast, Joe Hilger speaks with Joe Pairman, Director of Product Management at RWS Group. RWS Group is a world-leading provider of technology-enabled language, content management, and intellectual property services. Joe is in charge of … 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
How to Explain Ontologies to Any Audience
Recently, I’ve been thinking a lot about how we can better explain complex, semantic concepts like ontologies, knowledge graphs, and data fabrics to others in an approachable, easy-to-understand manner. I’ve been in any number of situations where I’ve struggled to … 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
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
Transforming Tabular Data into Personalized, Componentized Content using Knowledge Graphs in Python
My colleagues Joe Hilger and Neil Quinn recently wrote blogs highlighting the benefits of leveraging a knowledge graph in tandem with a componentized content management system (CCMS) to curate personalized content for users. Hilger set the stage explaining the business … Continue reading
Knowledge Management Technology to Improve Learning Outcomes
Learning Ecosystems should be designed to not only present educational information, but to truly promote learning. There are many factors that improve learning outcomes within learning ecosystems, but two of those factors most strongly impacted by knowledge management technology are … Continue reading
Knowledge Cast Product Spotlight – Dorian Selz of Squirro
In this episode of the Knowledge Cast, EK COO Joe Hilger speaks with Dorian Selz, Co-Founder & CEO at Squirro. Dorian founded Squirro, the leading Augmented Intelligence platform, just over 10 years ago, and has been keeping business users in … Continue reading