IN THE NEWS Archives - Page 3 of 13

Best Practices for Implementing Data Science Sandboxes

This AI Business article discusses how graph technology-based approaches are increasingly being sought after to help with various aspects of Artificial Intelligence.

Ten 2020 Visions for Data Modelers

This Dataversity article discusses 10 data modeling predictions for 2020, including bridge building between RDF and Property graph databases with the development of RDF*, which Cambridge Semantics’ AnzoGraph already supports.

Cambridge Semantics Expands to Australia and New Zealand

Cambridge Semantics’ Anzo platform is now available to enterprises in Australia and New Zealand through a partnership with Allinno, a systems integrator and consulting firm based in Australia.

Accelerate Your Analytics Strategy with Next-Gen Data Preparation Tools

Ehtisham Zaidi, senior director analyst of Gartner’s Data and Analytics team, names Anzo a significant data preparation tool in this article in Analytics Insight.

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.

2020 Trends in Big Data: The Integration Agenda

Several Big Data thought leaders, including our own CTO Sean Martin, share their thoughts on the challenges of integrating big data at scale in this Inside Big Data article.

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.

Comparing Graph Databases II

In his second article for Towards Data Science discussing graph databases Sam Bell discusses AnzoGraph DB, along with two more graph databases.

The Magic of Kubernetes: AI and Burst Computing

This article in AI Business discusses using Kubernetes and containers to accommodate surging demands in cloud resources as they occur, with insights from a number of thought leaders, including Sean Martin, Cambridge Semantics’ CTO.

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.

From Lakes to Hubs to Graph

Dan McCreary discusses the history of the three Big Data architectural patterns, Data Lakes, Data Hubs and Enterprise Knowledge Graphs, how they differ and how new technologies like AnzoGraph’s OpenCypher capability will impact their ongoing evolution.