Machine learning

Insurer signs multi-year agreement with Human Longevity to offer genetic mapping to customers.

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

In the heart of Toronto's MARS tech corridor, the insurer's Lab of Forward Thinking tackles insurance's future

There’s $100,000 on the line for participants in insurer’s Singapore-based program.

The startup believes it has a winning formula combining big data, smartphones, and machine learning with consumers’ need for instantaneous service.

With 10 million cars featuring self-driving components expected within three years, insurers and regulators are eyeing the sector.

Rippleshot says that its software uses machine learning and big data to identify potential payment card breaches.

Mark Moore is taking on a new role as director of engineering for aviation at the ride-hailing company, working on a flying car initiative known as Uber Elevate.

Venture funding for auto-tech startups topped $1 billion in 2016, according to research firm CB Insights.

The move marks an evolution for robo-advisers as they add more services in an attempt to win high net worth individuals and compete against traditional asset managers

The legal fight involving autonomous-driving hot shots is the latest to show how the war for talent in Silicon Valley is heating up, as tech and auto companies alike compete for skilled engineers.

Nearly 4 in 10 data science tasks will be automated by 2020, Gartner predicts, making insight more accessible to people who aren't pure data scientists.

Insurance industry stakeholders are urged to think enhancement, not replacement, of human intelligence with AI implementations.

So far, Waymo has cut a deal with one carmaker, Fiat Chrysler Automobiles NV, to outfit vehicles with its full self-driving kit, including hardware and software.

As the value propositions of connected cars and homes increase, so does the imperative for insurers to enter those ecosystems through alliances and standalone offers.

The self-service tool, "Kate", answers all questions relating to customers' policies by speaking to it directly.

Examples of insurance processes being automated through RPA include first notice of loss, fraud checking and policy renewal.

The conVRse technology allows customers to view and interact in a simulated environment with a life insurance expert.

Insurance offers the perfect landscape for robotic process automation (RPA) because of the many repetitive tasks that form standard industry transactions.

The goal is to improve the algorithms Uber uses to match drivers with passengers, and seek new techniques for building self-driving cars.