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.
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.
New Cambridge Semantics Anzo Release Tackles Unstructured Data 2.0
In this article for Solution Review Timothy King writes about Cambridge Semantics’ recent announcement regarding Anzo’s new “unstructured data 2.0” capabilities and rearchitected workflow from an embedded to distributed architecture.
Taking the Lead in the Cognitive Computing Race: Data Management Today
In this article for AI Business, our own VP of Marketing, John Rueter, and CTO, Sean Martin, discuss how combining graph database and semantic technologies allows organizations to overcome the barriers to data preparation that previously prevented analytics from becoming reliable, scalable, and flexible enough for big data sets.