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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      1 Jan 2024, Volume 39 Issue 1   
    Article

    ARTIFICIAL INTELLIGENCE (AI) AND DATA SCIENCE ARE REVOLUTIONIZING THE AUTOMOTIVE INDUSTRY
    S Swathi, K.Muthukumar, S.Selvam, P.Vijayakumar, S.Settu
    Journal of Data Acquisition and Processing, 2024, 39 (1): 1175-1181 . 

    Abstract

    Artificial intelligence (AI) and data science have emerged as transformative forces within the automotive industry. This article explores their profound impact on various aspects of automotive technology, operations, and customer experience.AI and data science applications in automotive engineering are revolutionizing vehicle design, safety, and performance. Machine learning algorithms analyze vast amounts of data from sensors, cameras, and other sources to optimize vehicle systems, enhance autonomous driving capabilities, and improve overall vehicle efficiency. In manufacturing, AI-driven predictive maintenance systems help prevent equipment failures, minimize downtime, and streamline production processes. Data analytics enable manufacturers to optimize supply chain management, reduce costs, and improve quality control. Moreover, AI-powered predictive analytics are transforming the customer experience, from personalized marketing and recommendation systems to virtual assistants and in-car entertainment. These technologies enable automakers to deliver more tailored and intuitive user experiences, fostering brand loyalty and customer satisfaction. In summary, AI and data science are driving innovation and efficiency across all facets of the automotive industry, from vehicle design and manufacturing to customer engagement and beyond. As these technologies continue to evolve, they will play an increasingly integral role in shaping the future of mobility.

    Keyword

    Artificial Intelligence, Data Science, Automotive Industry, Autonomous Driving, Predictive Maintenance, Personalized User Experience, Manufacturing Optimization.


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ISSN 1004-9037

         

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