Cambridge Semantics Announces AnzoGraph Open-Standards Graph Database for Analytics A …
Cambridge Semantics today announced that for the first time, its award-winning AnzoGraph database is now available for download for independent evaluation and usage in customer applications, on premise or cloud, from single server to large clusters.
Impeccable Machine Learning Productivity: The Wonders of Data Provenance for Predicti …
In this article for AI Business Sean Martin, our CTO, discusses how the superior chain of provenance created by graph databases allow organizations to operationalize machine learning models with data as similar as possible to that used in training.
Webinar: Large Scale Graph Analytics with RDF and LPG Parallel Processing
Please join Barry Zane, former co-founder of Netezza, Paraccel and SPARQ City and current VP of Engineering at Cambridge Semantics, for a webinar entitled “Large Scale Graph Analytics with RDF and LPG Parallel Processing” on October 25th, 2018 at 2:00 pm EDT.
3 Use Cases for Unstructured Data
TDWI research reveals that organizations that utilize disparate data for analytics are more likely to measure a top- or bottom-line impact from their analytics efforts than those that do not. In this article for TDWI, Fern Halper discusses three potential use cases for unstructured data.
Webinar: Accelerate Digital Transformation with an Enterprise Big Data Fabric
This on-demand webinar with guest speaker, Forrester Principal Analyst, Noel Yuhanna, and Cambridge Semantics VP of Solution Engineering, Ben Szekely, entitled “Accelerate Digital Transformation with an Enterprise Big Data Fabric” explores the concept of Data Fabrics and their real-life application.
Cambridge Semantics’ Anzo Selected as a 2018 Trend-Setting Product by KMWorld Magaz …
Cambridge Semantics was recently included in KMWorld Magazine’s annual list of Trend Setting Products. This shortlist features enterprise data solutions that break new ground in enabling organizations to achieve their knowledge management goals.
Anzo for Machine Learning
Incomplete, inaccurate or overly complex data can throw off your best Machine Learning (ML) efforts. Anzo replaces the tedious, error-prone work of preparing data for ML with a modern data platform designed to rapidly integrate, harmonize and transform data into optimized ML-ready datasets.
KMWorld Trend-Setting Products of 2018
KMWorld magazine has named Cambridge Semantics’ Anzo Smart Data Lake solution a ‘Trend-Setting Product” for 2018. This award is reserved for products that embody innovation, imagination and evolution and reflect the ingenuity of their developers and the diversity of invention.
Is The Enterprise Knowledge Graph Finally Going To Make All Data Usable?
In this article for Forbes, Dan Woods points to Siri, Alexa and Google Home as everyday examples of the power of knowledge graphs and how AnzoGraph can similarly make all enterprise data usable with an Enterprise Knowledge Graph.
The Enterprise Knowledge Graph Phenomenon: What it Means to Artificial Intelligence
This article in AnalyticsWeek discusses the presence and overall worth of enterprise knowledge graphs, particularly for AI applications, with insights from a number of industry thought leaders including Cambridge Semantics’ VP of Marketing John Rueter, CTO Sean Martin and VP of Engineering Barry Zane.