Application of Databases and Artificial Intelligence in the Automotive Industry: A Methodological – Research Framework
DOI:
https://doi.org/10.46793/Rev25110.085RKeywords:
digitalization, automotive industry, databases, artificial intelligence, business models, capital markets, data analysis, company valuationAbstract
This paper presents a methodological research framework for the application of databases and artificial intelligence (AI) in the automotive industry. The research examines how digitalization and AI-based technologies influence business models and financial performance, particularly through the integration of smart systems into modern vehicles. The paper outlines both quantitative and qualitative methods, including case studies of companies such as Tesla, BMW, and Ottometric Inc., as well as an analysis of capital market indicators. Special emphasis is placed on data collection techniques and their role in strategic decision-making.
The study further explores the correlation between digital innovation and stock market valuation, demonstrating how advanced software solutions contribute to investor perception and company growth. By combining theoretical insights with real-world examples, this framework lays the foundation for further research into the financial and strategic implications of AI and databases in the automotive sector.
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