Use cases of Artificial Intelligence in Automotive And while AI applications in daily lives are increasing, let’s first have a look at how it is shaping the auto sector. From looking at options for safe and secure transportation, to saving on time and cost, to accessibility, and even increased focus on electric vehicles (EV), this is the time for exploration of AI in the automotive sector. The global pandemic has had its own effects with AI automation in the automotive industry picking up pace at breakneck speed. Surprisingly, there’s reason enough to believe that that’s soon going to change. In a study conducted by Capgemini Research Institute it was found that, compared to 7% in 2017, only 10% of automotive organizations (as of 2019) are deploying AI at scale. Interestingly however, AI in automotive is gradually picking up pace and going mainstream, with only some of the big players making the most of it or at best using it sporadically at plant level and not enterprise level. There is an opportunity at every nook and corner and with top AI development companies working on it, there’s a shift in the canvas, with AI technology opening new doors for car manufacturers, insurers, vehicle owners and others to do more.įrom engineering to designing, prototyping to produ ction, supply and logistics to customer support, there is AI involved at every stage of the modern car manufacturing and distribution system. ![]() The role of AI in automotive and smart cars is a goldmine of innovation and auto-manufacturers like Tesla and Volvo for instance are leaving no stones unturned for making new discoveries.
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