Graph Databases Go Mainstream
In this article for Forbes, Kurt Cagle offers a historical perspective on the evolution of graph databases as well as some keen insights on current market dynamics and names our own Anzo as a stalwart of the graph database market that is still going strong while other vendors have come and gone.
The Data Fabric for Machine Learning – Part 2: Building a Knowledge Graph
In the third and final installment in his “The Data Fabric for Machine Learning” series, Favio Vazquez points to a number of real-world uses for Knowledge Graphs, including how our own Anzo can be used by Financial Institutions.
Are Semantics the Undead of Enterprise Tech? They Keep Coming Back to Life
In this article for Early Adopter, Dan Woods discusses the importance of semantic technology in building Knowledge Graphs at scale and why the time may be right for semantics technology to be adopted broadly by Enterprises at scale.
The Data Fabric for Machine Learning Part 1b – Deep Learning on Graphs
In this article for KDnuggets Favio Vazquez discusses using Anzo to create an Enterprise Knowledge Graph and the basics of thinking about machine learning and deep learning on graphs with the library Spektral and the platform MatrixDS.
19 Top Data Preparation Tools
In this article Health Data Management highlights Gartner analysts Ehtisham Zaidi and Sharat Menon’s latest report, “Market Guide for Data Preparation Tools,” which identifies Anzo as one of only 2 among the 19 leading providers of data preparation software that offers solutions for all 5 specified categories.
What’s Going to Happen This Year in the Data World
In his latest article for KD Nuggets, Favio Vazquez, Founder at Ciencia y Datos, provides a quick overview of what’s going on right now in the world of Data Science and analyzes the different big data trends people are talking about with a focus on two major trends, automation and graphs.
Healthcare: The Importance of Making Connections
This article for KMWorld Magazine discusses how graph data models allow for the interpretation of healthcare data that comes from different sources, both structured and unstructured, by representing data as sets of entities called nodes and connections to gain additional insights.
Key Takeaways from Gartner’s 2019 Market Guide for Data Preparation
This Solutions Review article discusses key takeaways from Gartner’s “2019 Market Guide for Data Preparation” which highlights Cambridge Semantics as a top provider in data preparation, widely regarded as one of the most time-consuming practices in the analytic process.
The 7 Major Players in Data Preparation Tools 2019
Solutions Review writes that Cambridge Semantics was named a top-scoring provider in analyst house Gartner, Inc.’s Peer Insights software reviews. We have also been included as having a relevant product in Gartner’s recent Market Guide for Data Preparation Tools.
AnzoGraph: A Graph Database for Deep Analytics
In this article Martin Heller of Infoworld reviews AnzoGraph and highlights its capabilities to complement OLTP graph databases. He also outlines how customers such as PwC are using it for anti-fraud and anti-money laundering while Eli Lilly and Merck are using it for scientific data discovery.