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Content related to How to Implement a Semantic Layer: A Proven Operating Model

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 value of a personalized digital experience and the logistics of these two technologies supporting one … Continue reading

Knowledge Graph Accelerator for Data Standardization and Environmental Social Governance (ESG)

The Challenge A global management consulting firm needed to establish a standardized, central platform for consultants to see insights on environmental impacts associated with supply chain processes. Historically, this information was stored in disparate locations, often hidden within departmental documents … 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

Content Personalization with Knowledge Graphs in Python

In a recent blog post, my colleague Joe Hilger described how a knowledge graph can be used in conjunction with a componentized content management system (CCMS) to provide personalized content to customers. This post will show the example data from Hilger’s post being loaded into a knowledge graph and queried to find the content appropriate … Continue reading