The automotive industry is embarking on a journey driven by technology; generative AI (genAI) is emerging as a tool to help over some of its most pressing issues and make processes more productive, sales more efficient, and safer products, as well as the customers more satisfied according to a report released on Friday.
As the automotive industry sets off on a technological journey, generative artificial Intelligence (genAI) is emerging as an engine that can help solve some of the most pressing issues and make processes more productive, sales more efficient, products more secure, customers more content as a new study revealed on Friday. According to GlobalData, a data and analytics firm GlobalData, genAI can offer solutions to various issues in the auto industry.
“The next decade is make-or-break for automakers, requiring them to either adopt transformative innovations or risk relinquishing control to major tech companies. With sustainability demands, electric revolutions, capacity challenges, and shifting mobility trends, the clock is ticking for automotive leaders,” said Kiran Raj, Practice Head of Disruptive Tech at GlobalData. As per the research, genAI improves safety in the automotive industry by using real-time information to enhance advanced driver assistance systems (ADAS), which will strengthen collision detection, lane-keeping, adaptive cruise control, and parking assist.
“GenAI can be deeply integrated into every part of the automotive operation, from upstream to downstream. It helps predict demand, manage inventory, improve buying strategies, and revolutionise customer service after sales. This lets automakers quickly adjust to the changing situations and stay connected with the pulse of real-world trends,” said Shagun Sachdeva, the Project Manager for the Disruptive Tech for GlobalData.
Furthermore, the report states that genAI enhances customer experiences by revolutionizing navigation through optimized routes, resulting in personalized courses based on the user’s preferences and driving experiences tailored to the user’s preferences. Furthermore, it enhances human-machine interaction, which allows natural conversations with AI in vehicles to improve safety and convenience.