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Content related to Learning 360: Crafting a Comprehensive View of Learning Content Using a Graph

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

How to Quickly Prototype a Scalable Graph Architecture: A Framework for Rapid Knowledge Graph Implementation

Sara Nash and Thomas Mitrevski, Consultants in Enterprise Knowedge’s Data and Information Management Division presented on May 4, 2022 at the Knowledge Graph Conference in New York City. The talk focused on How to Quickly Prototype a Scalable Graph Architecture: … 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

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