Machine learning

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.

DARPA predictions include the possibility that devices or applications will be capable of being launched by human thoughts.