Machine learning

The company's SelfieQuote.com is a major component of its 2018 plans to grow its customer base among younger consumers.

But carriers are looking for these technologies to prove themselves before widespread deployment, says Novarica study.

Driving this transition will be the growing number of Internet of Things devices and the rapid maturation of artificial intelligence and machine learning technologies.

Todd Fancher will lead the carrier’s strategic investment in artificial intelligence, machine learning and advanced analytics aimed at better customer service.

The back-to-back-to-back storms of Harvey, Irma and Maria tested the digital claims advancements by carriers like Allstate and USAA on a massive scale.

Artificial intelligence continues to be top off mind for insurance carriers, as they work collect new forms of data and interact with customers using smarter digital channels.

As more AI applications emerge, the corporate database will evolve to support them.

Even if the end goal is to have chatbots available across all modes of support and service, such strategic projects start best with tactical investments.

Despite advances in machine learning, deep learning and artificial intelligence, cyber attackers are learning how to work around them, according to McAfee.

Through the development of its AVA virtual assistant, the usage-based auto insurer is letting machines take over more insurance processes, with the goal of improving customer experience.

Insurers face the risk of investing too heavily in RPA if they treat it as a long-term solution rather than a temporary fix.

Efforts to make AI more accessible also may alleviate the shortages of data and computer scientists.

The incubator launched in September by Startupbootcamp kicks off early next month in the traditional insurance capital.

Early adopters have training programs in place, Deloitte survey finds

The industry's human element is an asset that can’t be abandoned, especially at a time when disruptors are attempting to come in from all directions.

A November report finds consumers prefer that carriers determine premiums based on driver behavior, rather than traditional factors.

Advancements in natural language processing and machine learning algorithms are enabling machines to create human-like, digital conversations.

Many of these dangers stem from the increasing reliance of financial services companies on outside technology firms.

The range of technologies that are part of the AI family give carriers a lot of options in using it.

Insurance industry as a whole, however, lags other financial services somewhat in implementing robotic process automation, according to PwC.