The electric vehicle revolution is growing rapidly, and the global market for EVs is projected to surpass $480 billion by 2034, as per Precedence Market Research. Though the EV has a promising future, it comes with huge challenges as well, such as meeting the rising market demands or overcoming poor strategic planning. By leveraging AI and data science, organizations can easily handle these challenges and significantly enhance the EV ecosystem.
Manufacturers and operators can use AI and data-driven insights to address any inefficiencies in their operations. They can offer better vehicle customization, optimize production lines, cut costs across supply chains, and more. Moreover, AI-powered predictive maintenance can also help reduce battery failure rates by up to 40% and smart load balancing can lower charging times by 25%.
Additionally, advanced driver-assist systems like Automated Emergency Braking (AEB) have also shown a 45% decrease in collisions, making EVs a smarter and safer alternative.
Fleet operators can also leverage AI for smoother operations and reduce downtime, as well as minimize waiting periods at charging stations. These benefits collectively make EVs more reliable, accessible, and appealing to consumers.
As we move towards the future, we can find the EV industry is gearing up for mass adoption, and therefore, mastering AI and Big Data to excel in this industry can be a huge career decision. Upskill with top data science certifications and prepare to drive the transformation forward. Check out the following infographic for more details.
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