Machine learning

The connected world offers expanded insurance opportunities that can yield billions of dollars in additional revenue, but requires carriers to be more flexible, Accenture says.

Estimates vary wildly from 300,000 skilled practitioners to less than 10,000 worldwide.

IT jobs will be concentrated at the insurer's Cleveland and Colorado Springs locations as it looks to fill 7,500 total positions across departments.

The adoption of machine learning and the need for access to data beyond just data science team is changing how many firms approach information warehousing.

Mark Wilson's company is working with Tesla to insure driverless vehicles.

Insurers looking to leverage automated, AI-driven customer communications need to make sure they offer value.

Organizations are producing larger amounts of information than ever before and there needs to be efficient ways to categorize and interpret it all. That’s where artificical intelligence comes in.

The technology has the potential to effect the industry's data usage, risk modeling practices and core systems, according to Novarica.

While the industry is concentrating on smaller plays right now, artificial intelligence has transformative implications for carriers and policyholders.

Tech leaders note, however, that technology can't succeed without organizational incentives that focus on customer engagement.

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.