In 2015, 5–10% of the vehicles had some or other form of AI system installed. Within automotive, the implementation of artificial intelligence is at a very slow pace (refer Exhibit 7). In addition, there are many AI-powered insurance providers who offer quick services i.e., in availing insurance and claim settlements, to customers. Currently, many AI applications predict the problems related to engine performance, battery performance, etc. AI can be used to monitor the driver’s eye – whether one is sleeping/tired or not.ĪI can play a significant role in aftermarket service (refer Exhibit 6). Currently, Tesla is offering level 2 autonomous cars, and the company is planning to launch level 4/5 autonomous vehicles by the end of 2020. Business intelligence application in automotive industry driver#Currently, AI is playing a vital role in driver assistance technology, and it is being used widely in modern vehicles. Currently, AI helps humans to develop cars (Exhibits 3) using Exoskeletons in the future, the entire plant can be operated by these AI-powered robots.ĪI is revolutionizing the transportation sector (Exhibits 4 and 5). Robots are simultaneously working with human and learning automotive manufacturing skills (design, part manufacturing, and assembly) with the help of AI. Aftermarket services such as predictive maintenance and insurance are also transforming through the usage of AI. In addition, AI is being implemented in ‘driver assistance’ and ‘driver risk assessment’ systems, which is transforming the transportation sector. Currently, AI is being implemented in automotive manufacturing, including design, supply chain, production, and post-production. Role of Artificial Intelligence in the Automotive Value ChainĪrtificial intelligence finds its applications across the automotive value chain (Exhibit 2). ![]() ![]() In terms of AI technology adoption and implementation – the automotive industry can be categorized as ‘ new adopters’. In the automotive industry, the implementation of artificial intelligence is at a lower rate compared to Financial Services, ICT, Retail, and Healthcare sectors. In ICT, companies are offering AI-based assistant for commercial applications (examples are Siri, Alexa, and Google Assistant). ICT and Financial Services are mature industries (Exhibit 1) in terms of AI usage for day-to-day activities. An algorithm, which helps the system to learn and solve a problem independently, are being deployed across various industries such as financial services, Information and Communication Technology (ICT), Life Science, Retail, Healthcare, Industrial Manufacturing, Automotive, Oil & Gas, and Chemicals. Introduction – Evolution of Artificial Intelligence in AutomotiveĪrtificial intelligence (AI) uses data and algorithms to replicate human decision/thinking ability.
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