Waymo is attempting to improve transportation using autonomous vehicles. As it is preparing to launch a ride-hailing service with these cars, there are several challenges it faces – from perceived safety issues to long-term transportation policy around the world.
For the first time ever, the future is very uncertain for the automotive industry. The ones who can collect and leverage data to transform their business models will be more likely to survive and dominate the market.
Mobileye uses deep learning and crowd-sourcing to sense, map, and navigate the road. New ownership under Intel can help provide the processing and connectivity needed to take this technology to the next level, but with data being the driver of success, how can Mobileye build a broad network across automakers in a competitive market?
In stark contrast to the airline and auto industries, the trucking industry continues to remain stuck in a time warp. Will XPO Logistics (XPO) – a leading provider of LTL services – be able to successfully harness machine learning and AI to improve its pricing and capacity utilization algorithms? More importantly, can machine learning help to solve the long-term problem of driver shortage that is facing the US trucking industry?
As the world’s automakers commit billions to autonomous driving, FCA chooses to rely on the experts