Driverless

The usage-based insurance startup believes that driving frequency is a crucial data point for carriers.

Carrier is looking to develop customer experience comparable to that of Amazon and Google, according to Cathleen Scerbo, VP of IT business operations.

Reinsurer partners with Mobileye to install vision-based sensors on vehicles.

The coalition said it’s on track to put 40 autonomous test vehicles on the road by the end of 2017.

Insurer plans to leverage large swath of data to re-evaluate risk as autos modernize.

The sector is complex, and it is important for carriers to have the appropriate systems and functionalities to support these complexities and enable future growth.

Insurers see an opportunity to program aerial vehicles’ flight and picture-taking, freeing up adjusters’ time.

Otonomo collects hundreds of data points from cars and packages them to inform insurers' UBI programs.

Zack Gipson, military-focused insurer's chief innovation officer, also discusses the challenges of bringing a human touch to digital channels in a brief but candid Q&A.

Though there's less of an onus on insurers to collect driving data for UBI programs themselves, the new ecosystem has other downstream effects, say experts.

Tech expert Vivek Wadhwa says the entire process of computing risks is about to be disrupted.

Creating the right customer experience requires intent listening, rapid ideation and constant testing, says chief design officer Meriah Garrett.

A convergence of ride sharing, autonomous driving, and vehicle electrification trends will drive the shift, BCG says.

The two technologies account for nearly half of global insurance tech investment, up from 10% in 2015.

A recent accident involving an Uber driverless car suggests that AI and humans takes similar risks behind the wheel.

Transportation company began testing self-driving cars in Pittsburgh last year.

Acquisition follows a series of buys and partnerships inked in recent years by major tech and auto companies with Israeli tech firms.

There's still lots of room for improvement in machine learning before driverless cars can take over fully, if virtual assistants are any indication.

Intel accelerates a push into what many chip companies view as the next big opportunity: self-driving cars.

The organization will work on areas including robotics, new materials and communications,