{"title":"生成式人工智能和机器学习对汽车行业发展和减少碳足迹的影响:美国经济视角分析","authors":"Md Sumon Gazi","doi":"10.32996/jbms.2024.6.3.15","DOIUrl":null,"url":null,"abstract":"The U.S. automotive industry is instrumental to the economy and contributes significantly to the American GDP, employment, and global trade. The principal objective of this research paper is to examine the implications of Generative AI and ML in advancing the automotive industry from the U.S. economic perspective. Generative AI is the latest frontier in artificial intelligence software development, where algorithmic generation can be achieved across various types of content: text, images, audio, and video. The generative AI in the Automotive market at the global level had witnessed boisterous growth and commanded a value of approximately $389.47 million by 2023. The analysis exposed that North American regions are dominating the market, which was attributed to high technological infrastructure, along with partnerships among automotive companies with research institutes and universities to foster AI innovations. Application analysis exposed that Advanced Driver Assistance Systems (ADAS) had the biggest market share, indicating a strong focus on developing and implementing Generative AI technologies to enhance driver safety and vehicle autonomy. Followed by, Connected Car Technologies, representing growing efforts towards implementing generative AI solutions that will improve vehicle connectivity, infotainment, and user experience. The impact of Generative AI and Machine Learning can be witnessed in terms of virtual prototyping, generative automotive designs, consolidation with the CAD system, supply chain optimization, Sensor Fusion and Perception Enhancement as well as automotive manufacturing process optimization.","PeriodicalId":505050,"journal":{"name":"Journal of Business and Management Studies","volume":"38 21","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Implications of Generative Al and Machine Learning on Automotive Industry Development & Reduction of Carbon Footprint: An Analysis of the U.S. Economy Perspective\",\"authors\":\"Md Sumon Gazi\",\"doi\":\"10.32996/jbms.2024.6.3.15\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The U.S. automotive industry is instrumental to the economy and contributes significantly to the American GDP, employment, and global trade. 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Application analysis exposed that Advanced Driver Assistance Systems (ADAS) had the biggest market share, indicating a strong focus on developing and implementing Generative AI technologies to enhance driver safety and vehicle autonomy. Followed by, Connected Car Technologies, representing growing efforts towards implementing generative AI solutions that will improve vehicle connectivity, infotainment, and user experience. 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引用次数: 0
摘要
美国的汽车产业对美国经济起着举足轻重的作用,对美国的国内生产总值、就业和全球贸易做出了巨大贡献。本研究论文的主要目的是从美国经济的角度研究生成式人工智能和 ML 对推动汽车行业发展的影响。生成式人工智能是人工智能软件开发的最新前沿领域,可通过算法生成各种类型的内容:文本、图像、音频和视频。全球汽车领域的生成式人工智能市场增长迅猛,到 2023 年市场价值约为 3.8947 亿美元。分析显示,北美地区在市场中占据主导地位,这归因于高技术基础设施,以及汽车公司与研究机构和大学合作促进人工智能创新。应用分析表明,高级驾驶辅助系统(ADAS)占据了最大的市场份额,这表明人们非常重视开发和实施生成式人工智能技术,以提高驾驶安全性和车辆自主性。紧随其后的是车联网技术,这表明人们越来越重视实施生成式人工智能解决方案,以改善车辆连接、信息娱乐和用户体验。生成式人工智能和机器学习的影响体现在虚拟原型、生成式汽车设计、与 CAD 系统的整合、供应链优化、传感器融合和感知增强以及汽车制造流程优化等方面。
Implications of Generative Al and Machine Learning on Automotive Industry Development & Reduction of Carbon Footprint: An Analysis of the U.S. Economy Perspective
The U.S. automotive industry is instrumental to the economy and contributes significantly to the American GDP, employment, and global trade. The principal objective of this research paper is to examine the implications of Generative AI and ML in advancing the automotive industry from the U.S. economic perspective. Generative AI is the latest frontier in artificial intelligence software development, where algorithmic generation can be achieved across various types of content: text, images, audio, and video. The generative AI in the Automotive market at the global level had witnessed boisterous growth and commanded a value of approximately $389.47 million by 2023. The analysis exposed that North American regions are dominating the market, which was attributed to high technological infrastructure, along with partnerships among automotive companies with research institutes and universities to foster AI innovations. Application analysis exposed that Advanced Driver Assistance Systems (ADAS) had the biggest market share, indicating a strong focus on developing and implementing Generative AI technologies to enhance driver safety and vehicle autonomy. Followed by, Connected Car Technologies, representing growing efforts towards implementing generative AI solutions that will improve vehicle connectivity, infotainment, and user experience. The impact of Generative AI and Machine Learning can be witnessed in terms of virtual prototyping, generative automotive designs, consolidation with the CAD system, supply chain optimization, Sensor Fusion and Perception Enhancement as well as automotive manufacturing process optimization.