Machine learning

There are vital aspects of business that have virtually stagnated despite the high-tech breakthroughs all around them. In insurance, it’s easy to spot: the process for managing risk transfer still relies on technology better suited for the 20th Century. It’s time for an upgrade.

Companies create a more customer-friendly, digitally-focused roadside assistance experience.

Deciding which transformation initiatives to tackle first should involve a careful examination of the dysfunction, importance and level of change resistance expected among stakeholders of any process that may be impacted.

Digital Insurance spoke with Maroun Mourad, president of global underwriting and leader of the life unit at Verisk about life insurance technology and what’s ahead for the industry.

In other news: Algorithm calculates number of good health years; Hiro rebrands to Locket; Alliant launches diversity initiative.

Three years ago, Amazon.com Inc. issued an invitation that seemed too good to pass up: Start your own company and earn as much as $300,000 a year delivering packages for the world’s largest online retailer.

In other news: Amerisure implements One Inc ClaimsPay tech; California drivers report distracted driving is getting worse; HSB adds social media income to home cyber protection.

Jerry launched a car insurance comparison service in 2019 using artificial intelligence and machine learning. The company has more than 1 million customers across the U.S. and has expansion plans.

A new report, IT’s Changing Mandate in an Age of Disruption conducted by the Economist Intelligence Unit, supported by Appian, suggests that to continue with various digital transformations and increase adaptability for the future, some IT improvements must be made.

Not only does the quality of the data impact a carrier’s bottom line, it also affects their customers’ experience.