Content related to What is a Large Language Model (LLM)?
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
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
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 … Continue reading
Improving Product Documentation With a CCMS and a Knowledge Graph
The Challenge A financial solutions provider wanted to improve and personalize customer interaction with support and technical documentation as well as streamline the content authoring process to ensure consistent messaging and avoid duplicated information. Before the EK team’s involvement, technical … Continue reading
Expert Analysis: Does My Organization Need a Graph Database?
As EK works with our clients to integrate knowledge graphs into their technical ecosystems, client stakeholders often ask, “Why should we leverage knowledge graphs?” and more specifically, “Do we need a graph database?” Our consultants then collaborate with stakeholders to … Continue reading
Data Management Trends in 2022: Data Fabric v. Data Mesh v. DataOps? What is Right for Your Organization?
When we start most of our engagements with our clients, there are common and important challenges we’re typically presented with that help summarize the core needs that persist within the data management space today: We don’t know what data we … Continue reading