While Level 5 autonomous vehicles aren’t commonplace yet, the car of today already looks vastly different than the vehicles that were on the roads a decade ago — an evolution that has implications for insureds’ exposures and insurance needs.

Artificial intelligence will become a “big time saver” for claims adjusters and will eventually allow the industry to save billions a year in costs, one researcher says.

Uber Technologies Inc is not criminally liable in a March 2018 crash in Tempe, Arizona, in which one of the company’s self-driving cars struck and killed a pedestrian, prosecutors said on Tuesday.

QBE is taking a stand. It is loudly and proudly talking about the dangers of climate change and what needs to be done to stop it—including putting its own money on the line.

Recently, I read a blurb that featured an “experiment” by SafeButler, an online premium comparison web site. The purpose of the experiment was to see how fast someone could get a renter’s insurance policy. They tested 10 online sources for coverage on a “luxury apartment.”

The National Highway Traffic Safety Administration (NHTSA) and the National Transportation Safety Board (NTSB) said they are sending teams to investigate a fatal crash in Florida on Friday involving a Tesla Inc car and a semi-trailer.

Both insurers and collision repairers are facing new challenges in the age of technological advancements. Designed with more than just transportation in mind, vehicles are equipped with new technology that keeps consumers safe and comfortable.

As I watch the insurtech space, I see a fair bit of hype around disruptive technology. Some of what I see reminds me of the dotcom boom of the late 1990s. Then, as now, lots of startups promise to deliver something ground-breaking, and all are competing in the same space, with many of the same ideas.

Nationwide Insurance issued 191 layoff notices to Des Moines workers this month — more than double the number previously announced by the company.

The arguments surrounding the need for change in the insurance industry have largely been won. In recent years, dramatically increasing regulations, competition and customer expectations, along with dwindling resources and shortages of technical skills, have combined to produce an environment of uncertainty.

Insurance companies are only beginning to harness the potential of artificial intelligence (AI) and robotic process automation (RPA). AI refers to computer systems that can mimic human capabilities by learning and solving problems. RPA is an emerging form of business process automation technology based on using software robots or AI “workers.”

There was a day when we used typewriters to type documents, stored our records in filing cabinets, and took photos with our 35mm cameras. Those processes evolved as technology advanced at an exponential rate. Insurance companies—which had previously been slow to adopt new methods—had to adapt quickly to remain competitive.

Many insurance companies suffer from slow and inefficient claims processes, which are notoriously lengthy and cumbersome for both the insurance companies and their customers. From long and difficult back and forth to messy, complicated paperwork, claim cycles can be a real pain for all involved.

Light detection and ranging (lidar) is a high-resolution mapping tool currently used in self driving cars as well as for structure losses, tree/power line management, urban planning, engineering design, mapping planets, and in court litigation.

Fraudulent claims continue to plague the global insurance market, but proponents of blockchain technology insist that a solution may soon be at hand. When implementation of these decentralized digital ledgers becomes widespread, some believe fraud could be reduced significantly.