Machine learning

The trends revolve around speedier personalization, smarter automation and more efficient distribution.

The startup built artificial intelligence software that can perform support tasks in claims and underwriting.

The report finds a 60% YoY increase in computer vision AI deployment throughout the auto claims management process.

Artificial intelligence programs are seeing plenty of use, according to a survey by Marcum.

It's clear that insurers must modernize every part of their back office.

Tips for appraising solutions that deliver the right combination.

RGA decided to put ChatGPT to the test by posing three questions related to underwriting and the future of life insurance. The answers from ChatGPT are entirely AI-generated.

One area that has progressed by leaps and bounds is new user interaction technologies like messaging, chatbots and real-time video chats.

More than two-thirds of 292 respondents, predominantly in the financial sector, didn't view their own jobs as being at risk any time soon.

It appears the technology is largely still in its infancy in the insurance industry.

AI and predictive analytics provide a more rigorous approach to risk management.

To stay ahead, insurers must assess the factors shaping the industry including emerging technologies.

Alongside extreme weather events, issues like affordability and risk perception contribute to the lack of insurance protection.

Applying AI technology moves slowly, but has potential to produce more sophisticated insights

Improving data management technology can take routine work off insurers' plates, insurtechs and experts say.

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

Coverage supports seniors continuing to live at home, offers wellness benefits.

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

AI and ML can find patterns in data, but when they're trained on biased data, they can compound the issues and perpetuate a self-confirming data bias cycle.

The cloud and SaaS can ensure that businesses are able to operate in real-time.