Schneider has been racking up the honors for its use of artificial intelligence, so we talked to Brian Stuelpner, Schneider vice president of strategy, planning and architecture, to learn more about AI and how the megafleet is using it in its everyday operations.
According to LinkedIn, the No. 1 emerging job in 2018 didn’t even make the list this year. In the automotive sector, robotics engineers, data scientists, and artificial intelligence specialists are in hot demand.
Audi will use Fleetonomy’s ride-hailing platform to power its long-distance BITS mobility service, which uses a mix of gas-powered and electric vehicles. The platform can schedule vehicle use according to battery capacity, optimal charging time, and charging locations.
By taking advantage of the global data sources and secure data management capabilities in the Otonomo platform, GreenRoad will be able to offer its solutions using data directly from OEMs or any onboard device deployed in fleet vehicles.
WEX’s Kurt Thearling shares real-world integrations of telematics, driver, and fuel data sets that are driving fleet efficiencies and a process to get there.
If the words “artificial intelligence” conjure up an image of Skynet in the Terminator movies, it’s time to think again. There are real-world transportation companies using AI to do their work better, faster, and more effectively – and they could be your competition.
Mike Branch of Geotab and Dain Giesie of Enterprise Fleet Management will demonstrate how artificial intelligence and big data are being leveraged to spec vehicles based on vocation, topography, city density, and even local weather patterns.
A new connected-vehicle partnership will help Emkay Inc. provide expanded data from multiple vehicle manufacturers to its fleet customers, the Itasca, Ill.-based fleet management company has announced.
Just like the evolution of VMRS codes helped make vehicle repair more efficient, so too will the next wave of evolution — artificial intelligence and machine learning.
