In a study involving hundreds of prominent insurance leaders, Waterstreet has revealed a compelling vision of the future of insurance, shedding light on the transformative impact of insurtech innovations, artificial intelligence (AI), machine learning, and blockchain on the industry landscape.

Owners of battery-electric vehicles (BEVs) are more likely to experience problems with advanced technology than drivers of internal combustion engine (ICE) vehicles, a new study shows.

We love to think about disruption as simply a modern-day term. Yet four historic industrial revolutions offer ample evidence that disruption occurs far more frequently than we might ever imagine.

AI is having quite a moment. One high profile AI app, ChatGPT, has become the fastest growing consumer app in history. It garnered over a million users in its first five days and hit one 100 million active users in just two months.

Advanced driver assistance systems (ADAS) have the potential to avert a staggering number of crashes, injuries, and fatalities over the next three decades.

These days, cars are computer centers on wheels. Today’s vehicles can contain over 100 computers and millions of lines of software code. These computers are all networked together and can operate all aspects of your vehicle. It’s not surprising, then, that car theft has also become high-tech.

Smart cities and insurance are intertwined in various ways. As urban areas around the world continue to embrace smart city technologies to improve efficiency, sustainability and quality of life, insurance plays a crucial role in mitigating risks and supporting the development and sustainability of these cities.

Technology is accelerating faster than it ever has before, giving IT and security teams more tools to fend off cybersecurity attacks from an increasingly diverse slate of bad actors, according to Comcast Business.

California’s privacy regulator said Monday it will be reviewing the data privacy practices of connected car manufacturers.

The National Association of Insurance Commissioners (NAIC) has issued a model bulletin exposure draft on the use of algorithms, predictive models and artificial intelligence (AI) systems by insurers.

When we think about distracted driving, we automatically think of smartphones. They’re indispensable. They’re addictive. They can also be dangerous.

Cigna is facing a class-action lawsuit that accuses the company of employing an algorithm to review and reject hundreds of thousands of patient health insurance claims, with minimal individual doctor oversight.

After many long years of stability, the 125-year-old, $300 billion U.S. auto insurance industry is caught between runaway inflationary cost pressures on one side and consumer wallets, many of which are no longer able to afford the spiraling auto insurance premium increases, on the other.​

The insurance claims sector is tapping into technologies such as machine learning and artificial intelligence to increase efficiency, improve outcomes and detect fraud.

The threats that are posed by new technologies such as artificial intelligence (AI), which had consistently reduced since 2021, is now predicted to be a growing threat for the next 12 months ahead, according to Beazley’s latest Risk & Resilience report: Spotlight on: Cyber & Technology Risks 2023.