AN UNDERSTANDING OF ARTIFICIAL INTELLIGENCE APPLICATIONS IN THE AUTOMOTIVE INDUSTRY VALUE CHAIN.

Artificial intelligence (AI) is a field of human interest since the 1950s. In recent years, it has gained widespread attention due to the needed underlying technologies now available. AI technology is based on neuronal networks that require large amounts of data and fast computation to process learning algorithms, which help organizations greatly in their decision-making processes. This paper explores AI applications in the automotive industry of the future with respect to the automotive value chain. The applications of AI are analyzed for all the subprocesses in the automotive value chain, which include: Research and Development, Procurement, Logistics, Operations, Marketing, Sales, and Connected Customer. The AI applications for each sector are investigated in terms of risk and impact on businesses in the automotive sector. This helps to identify, from an organizational perspective, the most applicable areas of AI technology in the future automotive industry. The recommendations made at the conclusion of this paper include explanations of how the AI application has to be made as part of the automotive value chain and the expected benefits of implementation. In addition, the findings are summarized in a table in the recommendations section, which shows the possible application areas of artificial intelligence in the automotive industry value chain along with the benefits and risks of the use-cases. [ABSTRACT FROM AUTHOR]