Economy

More than 126,000 commercial buildings in London are at risk from flash flooding. Climate change will heighten that threat.

Prakash Ranjan, the vice president of marketing technology, will focus on the company’s goals to improve digital transformation and increase tech talent.

Automatic emergency braking systems can detect and prevent pedestrian crashes, but lighting plays a role in the odds no matter the crash avoidance systems in place, according to a study from the Insurance Institute for Highway Safety.

As 2022 gets under way, insurers have opportunities to boost their visibility beyond simply increasing their marketing spending.

Digital Insurance spoke with Steve Prymas, the chief insurance officer of Embroker, a digital insurance platform, about new products, cybersecurity and digital transformation within the industry.

The most common reason why business executives didn’t purchase executive risk coverages, like D&O, EPL and Fiduciary Liability, was that they didn’t believe the company was big enough to need it, according to a recent study from Coalition, a commercial insurtech.

Expenses in the fourth quarter surged 43% from a year earlier to more than $11.6 billion, the Northbrook, Illinois-based insurer said Wednesday in a statement. Costs tied to property and casualty claims made up the majority of the increase.

Mike Kreidler has adopted a temporary rule banning insurers from using credit information to set auto, homeowner and renters insurance rates. Kreidler initially issued an emergency rule in March 2021 but it was struck down by a court last year. The new rule goes into effect March 4.

The total losses and physical damages were estimated to cost $343 billion, well below the peak loss year in 2011 of $615 billion, however the 2021 losses, compared to 2011-2020 were about 4% higher than the average of $271 billion, according to the 2021 Weather, Climate and Catastrophe Insight report.

Some consumers don’t seem to be crying out for usage-based insurance and evidence shows some of the models in use are only mildly predictive at best. Why is that? Why is it that auto insurance companies have not found a way to significantly improve on the traditional metrics of age, zip code and the like despite all the technological advances of the last few decades?