What is the automobile industry's influence on artificial intelligence? AI in the automotive industry refers to the implementation of artificial intelligence technology in several areas of the automotive world. Various AI technologies, including machine learning (ML), natural language processing (NLP), and computer vision, contribute to the integration of artificial intelligence in the automotive industry with the goal of better driver experience. These technologies in the AI automotive world automate many tasks such as route planning, navigation, parking, etc., while also providing efficiency and safety. AI's impact on the automotive industry The impact of AI on automobiles is enormous. The changes and differences this brought to the traditional practices of the automotive industry were the next step in its development. AI in the automotive industry can help optimise manufacturing processes, reduce costs, and improve supply chain management. Vehicle and sales data helps model and control production processes with real-time data. Additionally, AI in the automotive industry can help streamline manufacturing processes, reduce costs, and improve supply chain management. Simply put, AI is revolutionising the automotive industry, making it safer, smarter, more efficient and greener. 1. Manufacturing process Before AI, automobile manufacturing relied on manual labour. The process was time-consuming and production costs were high. The challenge at the time was to collect data on the performance of manufactured cars. It is also difficult to identify errors or omissions. But now AI in cars allows manufacturers to automate processes through robotics and collect real-time data through AI software. 2. Better experience Many car companies are now adding AI technology to their cars to provide a better experience for customers or drivers. AI now provides real-time monitoring systems that were previously impossible. But now AI has advanced so much that companies are finding different ways to add additional features to the cars they manufacture. AI in cars can now monitor and detect damage to cars. These features are now commonplace in the growing automotive industry trends. 3. Agency service Car dealerships were outdated in the days of the traditional automobile industry. The dealer and customer met and negotiated, and then the dealer showed the vehicle in person. But now retail has taken the next step with AI. With the help of machine learning, a chatbot for dealerships has been developed. We provide 24X7 service to our clients by providing specific information required by interested buyers. AI in the automotive industry has also performed digital and virtual car inspections with the help of Virtual Car Studio. Applying AI to the automotive industry With the introduction of artificial intelligence (AI) technology into the automobile market, self-driving cars have become a reality. Today, automakers are using AI to increase manufacturing and supply chain efficiency and make driving safer and more comfortable. Artificial intelligence's significance in the automotive sector AI technologies offer tremendous potential when used in manufacturing and production processes and in automobiles to provide in-vehicle functionality. There are six major AI applications in the automotive industry. ● Design and production Automakers can use machine learning (ML) algorithms and AI-based solutions to improve a variety of areas, including manufacturing processes, data classification during accidents, and vehicle damage assessment. However, some automotive industry leaders regularly use AI and robotics tools based on NLP, conversational interfaces, and computer vision in their manufacturing processes ● Supply chain Automobile manufacturers can apply a variety of ML technologies and AI-based predictive analytics. Technical support allows us to forecast component requirements and predict future demand changes within a reasonable period of time. ● Quality Control (QC) AI helps detect many technical errors in real time. Based on data received from sensors within the vehicle, the AI system warns users in advance when systems or components require repair or replacement. In comparison, AI-based QC systems detect potential defects in parts before they are placed in the production process. ● Passenger experience Automakers manufacture cars using a variety of AI-based solutions to ensure the safety and comfort of all passengers while improving the overall passenger experience. Most systems use facial recognition and emotion detection algorithms to predict the state of passengers and drivers. In contrast, others are using NLP and generative techniques to help passengers enjoy music or movies and order services and goods during their travels. ● Driver assistance Artificial intelligence (AI) has the potential to help improve healthy driving experiences. For example, AI systems can guide drivers and protect their safety by providing weather and traffic updates, suggesting the most convenient routes, and allowing people to pay for products and services while driving. ● Car insurance AI-based systems can also help with insurance claims, as drivers can use the vehicle's AI features to collect accident data and submit claims. This AI-based system requires data analytics, NLP, speech recognition, and text processing and generation technologies. Conclusion The use of artificial intelligence in the automotive industry can provide a variety of benefits. However, despite the competitive advantages of artificial intelligence, its application in the automotive industry faces challenges such as algorithmic bias and low data quality. This must be taken into consideration when using artificial intelligence applications in the automotive sector.