Reinsurance News

Brit leveraging machine learning to sharpen US tornado damage identification

20th December 2021 - Author: Charlie Wood

Brit has expanded its use of a proprietary machine learning algorithm in its efforts to accelerate the identification of US Tornado property damage.

The technology will be used alongside its own ultra-high-resolution imagery.

Brit successfully deployed this technique to identify insured property damage following last week’s catastrophic US tornadoes.

The machine learning algorithm was developed by Brit’s Data Science team.

It assesses ultra-high-resolution aerial images and data, pinpointing, color-coding, and displaying properties by damage classification in the aftermath of catastrophic events.

“Innovation is a central pillar to Brit’s Claims strategy, and this includes a number of virtual and digital claims solutions for our customers when they need us the most,” Mike Barry, Head of Global Property Claims for Brit.

“We continue to evolve and innovate the use of our best in class aerial imagery and the damage classification algorithm developed earlier this year, enabling quicker and more efficient identification and payment of claims.”

Print Friendly, PDF & Email

Recent Reinsurance News

Getting your daily reinsurance news from Reinsurance News is a simple way to receive only the reinsurance industry news that matters, delivered directly to your email inbox.

  • Only email is mandatory, but the more you tell us about yourself the better we can serve you in future!
  • This field is for validation purposes and should be left unchanged.

By submitting the form you are giving your consent to be emailed by us.

Read previous post:
Pro Global MGA to provide incubator platform for Tierra

Global re/insurance advisor, Pro Global Holdings' Managing General Agent incubator subsidiary, Pro MGA Solutions (Pro MS), has announced it will...