Artificial intelligence (AI) and intelligent technologies in general are inseparable in our daily lives and because of this broad spectrum, AI is often referred to as general purpose technology. It may take time until steering wheels and pedals are no longer necessary, but AI already plays a significant role in so many other contexts within the automotive sector. From production planning to design and development, and from logistics to sales, nearly every aspect of car manufacturing and distribution is or will be enhanced in the mid- and long-term through the use of AI.
The automotive industry is facing the dawn of the second machine age. Let’s take a look at how AI has changed and will change the automotive industry.
AI is a double-edged sword—on the one hand, there are endless possibilities to automate complex processes; on the other, the crux lies precisely in this complexity, since in order to carry out highly sophisticated tasks, a high-quality database is required. The quality of the database accessed by AI, regardless of the context, is not determined by data density. A data-heavy project usually involves post-processing logic, ETL processes, various analytical and cognitive components and data streams.
It may take time until steering wheels and pedals are no longer necessary, but AI already plays a significant role in so many other contexts within the automotive sector
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