Can AI Predict If Your House Is Going To Burn To The Ground?

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As summer fire season looms in California, Zesty.ai is using machine learning to help insurers and homeowners to make realistic risk assessments—and reduce damage to homes and property.

Zesty.ai CEO Atilla Toth at a wildand-urban interface near the site of the 1991 Oakland Hills fire.Zesty.ai's pitch to insurance companies is this: don’t rely on overly general, out-of-date maps to decide what buildings and homes to insure. With its data, the company generates a single score, much like a credit score, that assesses wildfire risk on a property-by-property basis.

“AI sounds like voodoo for some of our customers, so I say: ‘Think of me like a chef,”' he says. “What goes into the stew? We look at vegetation density, we look at the slope, wind patterns are extremely important, and the distance to previous fires — wildfires unfortunately tend to repeat themselves.”

The next big challenge is modeling flood damages, which caused $82 billion in global damages last year. "If Z-Fire was used to completely re-underwrite Amica’s entire California portfolio, in 2020 Amica would have prevented 95% of its wildfire losses in the state,” Pitts said by email.

 

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