Content related to How to Prepare Content for AI
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
Digital Twins and Knowledge Graphs
Enterprise knowledge graphs are one of the fastest growing trends in knowledge management. Their intuitive and flexible structure, combined with their emphasis on relationships between entities, make knowledge graphs a natural fit for use cases that require aggregating content from … 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
Where Does a Knowledge Graph Fit Within the Enterprise?
Our clients often assume that building a knowledge graph requires that all data be managed in a single place for it to be effective. That is not the case. There are a variety of ways that organizations can solve for … 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
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
N-CATT – Data Strategy, Data Management and Data Governance Workshop
The Challenge National Center for Applied Transit Technology (N-CATT), a technical assistance center funded by the Federal Transit Administration and operated by the Community Transportation Association of America, seeks to provide small-urban, rural, and tribal transit agencies with practical, replicable … 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 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