Unlocking the full potential of Predict & Prevent strategies takes teamwork. We need insurers, tech innovators, policymakers, customers and others working together to create, test and launch solutions that stop losses in their tracks. It’s an exciting idea, but how do we make it happen?

To bolster innovation, insurers are turning to a technology that, in its short lifetime, has already created massive changes in business and the world. Generative AI, a type of artificial intelligence that can create content, rather than simply analyzing existing data, has been at the core of experiments in trying to optimize insurer processes, predict risk and develop customized policies for individual customers.

The U.S private insurance industry saw a $26.9 billion net underwriting loss in 2022, more than six times the $3.8 billion loss in 2021 and the largest underwriting loss since 2011, according to preliminary estimates from Verisk Analytics Inc. and the American Property Casualty Insurance Association.

The record global natural catastrophe losses between 2017-22 are a ‘wake-up call’ for the industry to ‘better assess, manage, and transfer’ the risks of future climate-related events, saids Mohsen Rahnama, CEO of Moody’s RMS.

Digital twins help insurers leverage high-quality data to counter unpredictable weather conditions caused by climate change.

Rising losses in the property and casualty insurance sector can partly be attributed to the increasing frequency and intensity of large natural disasters, as well as the movement of populations to regions more susceptible to catastrophes.

AI’s capabilities have surged so much that it has the potential in 2023 to dramatically raise the quality of claims handling and underwriting in workers’ compensation.

A bright spot for small business insurers: Customer trust is on the rise. Fifty percent of small business owners trust their carriers more than they did pre-pandemic. That number jumps to 80% when the business owner has filed a claim

Climate risk figured prominently throughout Triple-I’s Joint Industry Forum last week -- from the impact of severe weather events on insurers’ loss ratios to its significance in terms of changing risk profiles and to Florida homeowners’ insurance crisis.

What is the impact of artificial intelligence in insurance? Well, there are a lot of use cases for artificial intelligence in everyday life, but what about AI in insurance? The effects of artificial intelligence in business heavily include insurance.

Insurance is a data-driven industry, and underwriting is its heart. It’s an uncomfortable fact, then, that data from the only longitudinal study of North American P&C underwriters reveals that many important parts of underwriting seem to be mired in decline.

The CPCU Society has a goal of being an inclusive global community that welcomes and empowers all individuals, ideas and voices. One way to reach this goal includes expanding its global community through outreach and initiatives designed to retain and grow membership around the world.

For the savvy insurance professional, there’s nothing quite like getting together with like-minded individuals and discussing some of the latest innovations and nuances going on in the industry. And lucky for us all, in-person events are growing in number after the last two years of uncertainty.

A recent Risk Perspective blog from Swiss Re’s Mohit Pande has outlined the hurricane risks that the industry and economy currently face.

Severe convective storms are among the most common, most damaging natural catastrophes in the United States. In 2021, they resulted in the third-costliest year on record for the U.S. insurance industry, according to Aon, and catastrophe modeling firm RMS says the average annual insured loss from such storms nearly equals that from hurricanes, at around $17 billion.