AI has become an integral part of the Indian automotive industry, bringing about significant advancements and improvements in the way vehicles are manufactured, marketed, and sold. The adoption of AI is driven by the need for increased efficiency, improved customer services, predictive maintenance, and advanced driver assistance systems. For example, many Indian automotive companies have adopted AI-powered robots to perform tasks such as welding and painting in their production lines. This has not only reduced the time and cost of production but also eliminated the risk of human error.
Use of AI in Automobile Industry
The automobile manufacturing industry has been at the forefront of AI to improve its processes and stay competitive. From manufacturing and marketing to sales and customer service, AI has the potential to revolutionise the way cars are designed, produced, and used.
- Manufacturing: The use of AI in automobile manufacturing is still in its early stages, but the potential benefits are significant, and it is likely that the use of AI will continue to grow in the industry in the coming years. It has the potential to revolutionise the industry in the following ways:
□ Virtual Prototyping: AI-powered virtual prototyping systems can be used to create virtual models of new automobile designs, allowing manufacturers to test and refine the design before it goes into production.
□ Predictive Maintenance: AI can be used to monitor the health of machinery and equipment used in automobile manufacturing, predicting when maintenance is required and preventing unexpected downtime.
□ Quality Control: AI-powered systems can be used to monitor the production process in real-time, detecting and correcting any defects or anomalies before they become major issues.
□ Supply Chain Optimisation: AI can be used to optimise the supply chain, reducing waste, and improving the efficiency of the manufacturing process.
□ Autonomous Manufacturing: AI can be used to control and operate autonomous manufacturing systems, reducing the need for human intervention and increasing efficiency.
□ Customer Personalisation: AI can be used to analyse customer data to understand their preferences and personalise their experience, creating a more personalised and differentiated product offering.
- Marketing and Sales: AI can help automotive companies better understand customer preferences and behaviour, allowing them to personalise marketing campaigns and improve sales. AI-powered chatbots can provide customers with real-time assistance and recommendations, helping them to make informed purchasing decisions. In addition, AI can be used to analyse vast amounts of data to identify trends and patterns, providing insights into market trends and helping companies to make data-driven decisions.
- Customer Service: AI has the potential to revolutionise customer service in the automotive industry. AI can be used to predict when a vehicle is likely to need maintenance, allowing companies to proactively schedule appointments and reduce downtime.
- Advanced Driver Assistance Systems (ADAS): AI has been integrated into ADAS to improve road safety and make driving easier. For example, AI-powered systems can detect when a driver is drowsy and alert them to take a break, or automatically apply the brakes if a collision is imminent. AI can also be used in autonomous driving systems, allowing vehicles to drive themselves and reducing the risk of accidents caused by human error.
Market Size of AI for the Indian Automotive Sector
The market size of AI for the Indian automotive sector is expected to grow significantly in the coming years. According to a report by ResearchAndMarkets.com, The AI market in India is expected to reach US$ 2.8 bln by 2023, growing at a CAGR of over 25% from 2018 to 2023. The increasing demand for advanced driver assistance systems, predictive maintenance, and improved manufacturing efficiency is driving the growth of the AI market in the Indian automotive sector.
Future Skills Requirements
The integration of AI in the automotive industry will bring about significant changes to the workforce, requiring employees to have new and diverse skills, such as:
- Data Analysis: One of the primary skills required for the future workforce in the automotive industry will be data analysis. As AI systems collect and analyse vast amounts of data, employees will need to be able to interpret this data to make informed decisions and solve problems. Being able to use data to create new strategies and spot trends is also crucial for companies to stay ahead in the industry.
- Critical Thinking: Another important skill for the future workforce will be critical thinking. With AI systems taking over many routine tasks, employees will need to be able to think creatively and outside the box to solve complex problems. Additionally, employees will need to be able to evaluate the output of AI systems and determine when human intervention is required.
- Technical Skills: As AI continues to evolve, employees will need to have a strong understanding of the technology and its capabilities. This includes not only the ability to operate AI systems but also the ability to understand and interpret the code used to develop these systems. Workforce will need to be familiar with the various programming languages and tools used to develop and maintain AI systems.
- Adaptability: As AI continues to evolve, employees will need to be able to learn new skills and adapt to new technologies, processes, and systems. Additionally, employees will need to be flexible and able to work in a constantly changing environment.
Future Job Roles for Automotive Industry
The induction of AI in the automotive industry has created new career avenues for professionals. Some of the new roles that have emerged in the industry with the adoption of AI include:
- Human-Machine Interface Designers: Human-machine interface designers are responsible for designing the interfaces and controls for autonomous vehicles, ensuring a safe and user-friendly experience for drivers and passengers.
- AI Engineers: AI engineers are responsible for developing and implementing AI algorithms and models in the automotive industry.
- AI Project Manager: As AI systems become more
integrated into the automotive industry, there will be a need for project managers who can oversee the development and implementation of these systems. AI project managers will need to have a strong understanding of AI technology, as well as project management skills, to ensure the successful delivery of AI projects.
- AI Technician: AI technicians will be responsible for the day-to-day maintenance and upkeep of AI systems. They will need to have a strong technical background and be able to troubleshoot and repair issues with AI systems as they arise.
- AI Ethicist: As AI continues to play a larger role in society, there will be a growing need for AI ethicists who can ensure that AI systems are developed and used in an ethical and responsible manner. AI ethicists will need to have a deep understanding of ethical principles, as well as an understanding of the potential impact of AI on society.
- Autonomous Vehicle Engineers: Autonomous vehicle engineers design, develop, and test self-driving vehicles, incorporating AI and other technologies to ensure safety and reliability.
- Data Scientists: Data scientists use data and analytics to drive decisions in the automotive industry. They analyse and interpret large amounts of data to help improve manufacturing processes, predict maintenance needs, and enhance vehicle performance.
- Machine Learning Specialists: Machine learning specialists use algorithms and statistical models to develop and improve AI systems in the automotive industry.
These new roles in the automotive industry offer a range of opportunities for professionals to develop and utilise their skills in AI and related fields, leading to exciting and challenging careers in a rapidly changing industry.
ASDC Leads the Way in Shaping the Industry’s Future
With the growing importance of AI in automotive, Automotive Skills Development Council (ASDC) will play a critical role in ensuring that workers are equipped with the skills and knowledge they need to succeed in the new and emerging AI-related job roles. ASDC offers a range of Qualification Packs that are designed to help workers acquire the skills and knowledge they need to succeed in the automotive industry. These programmes are tailored to the specific needs of the industry and are updated regularly to keep pace with the latest technological advancements and trends. ASDC also works closely with companies in the automotive industry to ensure that its skill development programmes are aligned with the industry’s needs and expectations.
In conclusion, AI is rapidly transforming the automotive industry, leading to significant advancements in areas such as predictive maintenance, autonomous vehicles, and supply chain optimisation. As AI continues to play a larger role in the industry, the skills and knowledge required to work in the field will continue to evolve and change. Organisations like ASDC can help to ensure that workers in the automotive industry have the skills and knowledge they need to succeed in an ever-changing and competitive industry. Overall, the future of the automotive industry looks bright with the adoption of AI, and with the right skills and knowledge, workers in the industry can look forward to a bright future as well.