Merck KGaA Use Case: Master Data Management With a Data Fabric
Traditional data management tools take months and millions to produce data for reporting and analytics for drug development. Merck’s new data management chain, based on semantics, graph, controlled vocabularies and ontologies, is transforming the delivery of Regulatory Master Data Management for use in reporting, analytic, ML, and AI applications.
Data Strategy Best Practices via Dataversity
This program refocuses efforts on learning how to iteratively improve the way data is strategically applied. This will permit data-based strategy components to keep up with agile, evolving organizational strategies. It also contributes to three primary organizational data goals, aiming to improve your organization’s data, the way your people use data, and the way your people use data to achieve your organizational strategy.
What’s the Difference between Data Fabric and Data Mesh?
Are the Data Fabric and Data Mesh are complementary to each other? Does the Data Mesh include the principles and governance that orchestrate data sharing activities implemented on the Data Fabric? This blog post explores the differences and similarities between data fabric and data mesh strategies.
AI and Knowledge Graph; why their combination is important
This article focuses on knowledge graph technology as a critical technical enabler to operationalizing AI. We provide some examples to help illustrate AI and knowledge graph technology working together. We provide background for knowledge graph technology, and a way forward for large scale knowledge graph exploitation for operationalizing AI.
The Future of Data Integration
At Cambridge Semantics, we don’t care what you want to call your preferred enterprise data architecture – data mesh or data fabric, but our team does have strong opinions on its implementation. Join Greg West on September 13th, 2022 for a discussion spanning what might be your best data architecture options.