Interoperability and How to Sustain It
Authored by Sam Chance, Principal Consultant at Cambridge Semantics, this article for Control Engineering discusses how semantic interoperability adds semantic annotations and knowledge enrichment to address issues with information not always being understood by recipients despite standards for data formats and structures.
2020 Trends in Data Science: Vanquishing the Skills Shortage for Good
In this article for AI Business, Jelani Harper discusses how self-service visualization, data preparation, data modeling, virtualization, and more, are quietly overcoming the data science skills shortage, with insights by various thought leaders including our own CTO, Sean Martin.
The New Emerging Modern Data Infrastructure for Artificial Intelligence and Machine L …
Cambridge Semantics’ CTO, Sean Martin, writes in this article for Dataversity about how a Data Fabric architecture is the perfect data infrastructure for profiling, transforming, and preparing data for AI systems predicated on machine learning.
Probing Data’s Middle Ground
This Datanami article discusses how the rise of data lakes has exposed a gap between databases, files and other data repositories and the ability to view, analyze and leverage that data. The solution is Anzo, which has the ability to ingest multiple data types stored in a variety of batch and streaming platforms to create a “data fabric” of all the data.
Cambridge Semantics: The New Frontier of Modern Data Management
This article in Pharma Tech Outlook discusses how Cambridge Semantics leads the charge to help pharma companies establish a sound connection between their data, extract information, and remain competitive in the market with its Anzo platform.