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https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/572
Title: | Impact Of Artificial Intelligence On Ev Industry And Perceptual Mapping In India |
Authors: | Aravamudhan, Varadaraj Sengodan, Ananth Mohanraj, Prasanna Sai |
Keywords: | Electric Vehicle Machine learning Artificial Intelligence EV |
Issue Date: | 29-Jul-2022 |
Publisher: | The Seybold Report Journal |
Abstract: | Electric Vehicles are the upcoming largest share of the automotive industry. Adhering to sustainability and budget-friendly the E.V models are developing with every possible feature that would appeal to the world. In the Indian market, there are 12 Electric cars and 195 electric scooters circulated in different parts of India. Objective: The following research objectives were undertaken to understand the significance of A. I in the E.V industry, to understand the power of A. I in the ecosystem of E.V, to explore the methods of A. I used it in E.V. Methodology: The Methodology Section provides the tools and techniques used in the research paper to investigate the research findings or solutions to the research problems. The researcher has used a secondary method for understanding the impact of Artificial Intelligence on the EV Industry. The researcher has taken information using secondary methods from different sources. Results: India's financial development is obvious for prosperous development due to various factors such as solid monetary extension, social change, rapid urbanization, solid segment profits, and so on. India's advancement in the ease of carrying on with work records demonstrates the country's greater capacity to start and foster organizations. |
URI: | http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/572 |
ISSN: | 1533-9211 |
Appears in Collections: | Journal Articles |
Files in This Item:
File | Description | Size | Format | |
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V17I07A112.pdf Restricted Access | Article | 690.05 kB | Adobe PDF | View/Open Request a copy |
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