Insurance carriers recognize the importance of imagery as a crucial input to meet their data requirements. However, determining the best imagery to use and how to integrate it into their systems and internal workflows can be very challenging. Insurance companies typically operate using annual or quarterly imagery, which can limit…

Here at Arturo.ai we are big supporters of the Open Source Software (OSS) community. While I currently serve as Chief Technology Officer of Arturo, I am proud to have financially supported a number of OSS efforts during my previous role at the National Geospatial-Intelligence Agency (NGA). Additionally, I had the…

In this series of engineering-focused blog posts, members of Arturo’s engineering team will dissect the infrastructure backing Arturo’s on-demand property analytics API.

A sample of Arturo’s property analytics features. Our API gives unprecedented access to the latest possible property analytics data from the most up-to-date imagery available. As our machine learning services take just seconds to make a feature prediction, we’re able to offer our entire feature set on-demand — responding on average in less than five seconds.

For this first post, I’ll discuss the three types of services that compose our service graph: Machine Learning (ML) Models, 3rd-Party Data Providers, and Feature Aggregators.

Layers of…

Introduction

Business decisions depend more on data than ever before, yet there is no way to know the reliability of each data point used in a decision. The best option for determining the reliability of data is to validate a subset of a data source against some (often arduously) collected ground…

The saying goes, “It takes a village to raise a child,” meaning that it takes an entire community interacting with a child for that child to safely/healthily grow and succeed in the community. Suppose if you will that roughly the same is true of the AI/ML community and the resulting…

ARTURO

ARTURO IS A DEEP LEARNING SPIN-OUT FROM AMERICAN FAMILY INSURANCE FOCUSED ON DELIVERING HIGHLY ACCURATE MEASUREMENT AND PREDICTIVE PROPERTY DATA.

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