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A startup is employing machine learning to process aerial imagery and remotely analyze insurance risks to properties around the country.

Why it matters: The combination of AI and aerial imagery from satellites and even stratospheric balloons can help insurers quickly judge property risks without an in-person visit, saving money and time.

How it works: Arturo's AI model can identify potentially risky characteristics of a property like roof tiles in need of repair or a pool that lacks a fence and estimate the likelihood of an insurable accident in the future.

Background: Arturo's business model is a combination of two major technological trends: the ever-increasing growth of aerial imagery that can capture detailed pictures of the ground and the power of machine learning.

The big picture: Insurance might seem like the blandest of businesses, but since its origins hundreds of years ago, the field has focused on using available data to try to predict the future which happens to be precisely what machine learning is good at.

The catch: Given that insurance essentially exists as a shared hedge against uncertainty, the better insurance companies get at predicting the future, the harder it might be for some properties or people with higher risk profiles to get protection.

Here is the original post:
Using "eyes in the sky" and AI to remotely rate insurance risks - Axios