Risk analysis

Digital Insurance reached out to insurance professionals for comments related to new and emerging insurance risks to watch in 2025.

7Analytics, founded in Norway in 2020, focuses on specific high-resolution land and building images and data for sophisticated conclusions about flood risks.

The technologies safeguard insurers' ability to understand historical data and remotely apply those insights to risk modeling and underwriting.

The shortcomings of emerging "climate services" are concerning to some observers.

Future success for insurers largely lies in data and analytics strategy. 

Insurance companies have an opportunity to be at the forefront of climate change mitigation.

With rising inflation and interest rates is the insurance industry prepared for what's ahead?

Jeff Bales, senior director of Business Development at Notion shares homeowners insurance predictions.

Insurers can gain deeper insight into risks.

AI tools can help insurers with historical loss projections more effectively predict the impacts of future catastrophes.

The National Flood Insurance Program is a primary source of flood insurance but Risk Rating 2.0, could change that.

Ohio-based workers compensation claims administrator has territory and practices that the global TPA values.

Digital Insurance spoke with Chris Hayes, risk control executive at Travelers Insurance.

The predictive model is powered by AI analysis based on data from over 1,500 wildfire losses.

With the drive towards electric vehicles, there are questions on how the transformation and newest technology will influence car insurance.

Is it possible for an insurer to help prevent damages and delays? Yes.

New Zealanders are not alone in struggling to price the risk to property that comes from sea level change and flooding.

Cybersecurity risk start-up sees biggest risks inside firewalls

Digital Insurance spoke with Cyndee Morton, chief operating and innovation officer, Safety National Casualty Corporation.

Insurers and insurtechs use cloud and AI to detect threats to crop yields.