The sheer difficulty of Internet of Things integrations presents issues for even the most accomplished data integration platforms, including modern data fabrics predicated on harmonizing data in...
The Cambridge Semantics Breakthrough That Finally Allows You to Leave Your Data Where It Is While Integrating It at Scale - Without Compromises. Background - The Enterprise Data Fabric The...
This document was written as a guide to both those applying industry standard and other publicly available graph database benchmarks and those devising new ones in the context of Cambridge...
Data-driven practices have revolutionized the homeowner insurance market in two important ways. The first is via insurtech options that use publicly available data to issue quotes and process claims...
Last year, Cambridge Semantics took a bold move to spin out AnzoGraph® DB as a separate product. Our database engine has long been (and continues to be) the core of the popular Anzo® data fabric...
The high demand for usage based insurance products is one of the biggest trends throughout the insurance industry. There are several benefits to this model for both insurers and their customers....
Written by Sam Chance.
With projections of billions of connected devices by the beginning of the next decade, expectations for the IoT are decidedly high. Yet with mere weeks remaining in the current decade, those...
For most organizations, the vast potential of machine learning and Artificial Intelligence is still limited to fringe use cases. These back-office deployments are typically silos restricted to data...
Regardless of the use case for which it is deployed, the Internet of Things is largely based on machine generated data. Technologies involving sensor data, data streaming, and uninterrupted data...
