Overcoming the Insurance Onboarding Challenge with Knowledge Graphs
With reports of approximately $4.5 billion in investments in 2018, insurtech’s impact on the insurance industry is steadily growing—especially for consumer expectations. Traditional insurers are struggling to accelerate their onboarding and processing times to keep up.
AnzoGraph® DB Benchmarking Guide
Written by Sean Martin This document was written as a guide to both those applying industry standards and other publicly available graph database benchmarks and those devising new ones in the context of Cambridge Semantics’ database offering. The reason for writing it is that when it comes to AnzoGraph DB, we are learning that graph […]
Announcing AnzoGraph® DB Version 2
By Steve Sarsfield, VP of Product, AnzoGraph DB 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 product. Through Anzo, AnzoGraph DB has achieved success. That said, the interest […]
Perfecting Homeowner Insurance with the Internet of Things
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 in a matter of minutes. The second is with the real-time data of the Internet of Things. IoT data enables homeowners to remotely monitor their residences […]
Taming the Integration Demands of Usage Based Insurance
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. Usage based insurance enables insurance companies to calculate risk more accurately than they could before. Customers like it because it lets them directly affect […]
On-demand Webinar: Accelerating Data Integration & Insights in Oil & Gas
Watch this on-demand webinar to learn how organizations are using a data fabric enhanced with semantics and graph technology to dramatically accelerate their data integration initiatives and solve the long-standing problems common to data warehouses and data lakes.
The End of ETL is the Beginning of the IoT
Written by Sam Chance. Ad-hoc ETL integrations have drained the enterprise of valuable resources for too long. It’s difficult to determine which is worse: the inordinate costs associated with these point integrations, or the exorbitant amounts of time dedicated to stitching them together. Whenever sources or business requirements change, the largely manual coding process for […]