Seeking an Edge: Exploiting Alternative Big Data Sources and Customer Data for Financ …
In this article for KM World, Jelani Harper interviews several Financial Services thought leaders, including Marty Loughlin, VP of Global Sales here at Cambridge Semantics, regarding the competitive advantages to be gained by leveraging alternative big data sources.
Graph Data Standardization: It’s Just a Graph, Making Gravitational Waves in th …
Cambridge Semantics, AWS, Google, Neo4j, Oracle – these were just some of the vendors represented in the W3C workshop on web standardization for graph data, and what transpired is bound to boost adoption of the hottest segment in data management: Graph. ZDNet was in attendance and reports on what they saw and heard.
Comparing Linked Data Triplestores
In this article for Medium, Angus Addlesee, Machine Learning Engineer at Wallscope, compares Linked Data Triplestores including AnzoGraph, Virtuoso, GraphDB, Blazegraph, Stardog and more head-to-head to see who’s fastest (spoiler: AnzoGraph is when you move into production).
AnzoGraph: a W3C Standards-Based Graph Database
Jo Stichbury interviewed Barry Zane, our VP of Engineering and creator of AnzoGraph™, for Towards Data Science to find out more about how graph analysis and W3C standards are coming together and his predictions on the future of graph databases.
Ontology and Data Science
In this KDnuggets article, Favio Vázquez explains how ontologies are the stepping stones to creating a Data Fabric by establishing relationships between your data points that not only represent sharable and reusable knowledge, but also adds new knowledge about them.
2019 Trends in Machine Learning: Unclogging the Bottleneck
In this article for AI Business, Jelani Harper discusses with our own CTO, Sean Martin, and other thought-leaders the bottlenecks preventing more rapid adoption of Machine Learning and how graph technology can help eliminate some of them.