What Really Matters to Executives Building Intelligent Systems?
According to 56% of automotive leaders, the most important intelligent systems characteristic is using simulations or emulations during development and operation to increase productivity and reduce time-to-market.
The next most important characteristics are protecting data and guarding against cyberattacks (46%) and being able to sense and react based on goal-based algorithms (44%). Find out what else we learned from 500 of your peers.
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“Connected networks of vehicles, cities, devices, and roads will support completely autonomous driving.” 1
On the Edge in
For the future of full autonomous driving, Frost & Sullivan predicts the technology will mature and be accepted for trucks and off-highway vehicles first, then in passenger vehicles. Already today, there are many examples of robotic trucks being tested on highways in the U.S., Europe, Asia and elsewhere. Nonetheless, Frost & Sullivan expects we will have to wait until 2035 before “connected networks of vehicles, cities, devices, and roads will support completely autonomous driving.”1 Read the Article.
1 Deenadayalan, Mugundhan, “Autonomous Driving Will Convert Drivers to Pilots,” Frost & Sullivan, September 13, 2019
Leading Auto Companies Trust Wind River
Ford’s Matt Jones
Listen as Matt Jones, Ford’s global director of technology strategy and the president of COVESA, explains how a software-centric, cloud-oriented, and collaboratively based approach will fundamentally change the automotive and transportation industries in this Forbes “Futures in Focus” podcast.
Cadillac’s Melissa Grady-Dias
Listen as Cadillac’s Chief Marketing Officer Melissa Grady-Dias discusses electric vehicles and other innovations for an iconic American automotive brand on this Forbes “Futures in Focus” podcast.
Verizon’s Srini Kalapala
Listen as the infrastructure leader of the second-largest carrier in the world talks about cloud infrastructure on the intelligent edge in this Forbes "Futures in Focus" podcast.
Blueprint for Automotive Intelligent Systems
See how successful leaders in the automotive industry are sequencing and prioritizing different characteristics in their development of intelligent systems. Based on research with 500 leaders across six major industries.