Artificial Intelligence (AI) has had a clear impact on many business sectors, but it is particularly powerful in the manufacturing and automotive industries. Projections show that AI in the automotive industry will have a compound annual growth rate of almost 40 percent reaching $15.9 billion by the year 2027. The world is seeing a continued increase in the demand for connected vehicles and smart technologies such as voice and image recognition. The result is an industry that will continue to rely on both AI and automation in the design, production, and use of automobiles.

Beyond Autonomous Cars

For many, the idea of AI in the automotive industry conjures up images of autonomous or self-driving cars. These vehicles are certainly one of the more visible applications of the technology, but there is so much more behind the scenes — and under the proverbial hood. AI and automation has become essential in the design and production of automobiles, as well as the thousands of associated parts that go into every car. Automation and the use of smart robots has been crucial to the manufacturing process. 

AI has also become a critical part of the interplay between the production and the sales of automobiles. Sales data and vehicle data can be used in predictive modeling to better regulate production according to real-time demand. This sort of agility is needed as the industry has seen multiple supply chain failures during the recent pandemic

The Automotive Value Chain

Artificial intelligence and automation are utilized across all three primary categories within the automotive value chain

Manufacturing

The manufacturing process starts with design and progresses through the supply chain, production, and post-production. Leveraging AI in the automotive industry enables the design of the vehicle as well as the equipment and robots used in the building of the autos. Examples include AI-powered wearable exoskeletons that designers can wear to help develop better safety and comfort in cars. 

Transportation

Transportation benefits from the use of AI in the automobile industry by developing driver assist programs, autonomous driving, driver risk assessments, and driver monitoring, such as monitoring a driver’s eye to identify the danger of falling asleep at the wheel. 

Service

AI can be used for predictive maintenance and notifications for things like engine and battery performance, as well as insurance programs that monitor driver behavior in calculating risks and costs.

Digital Twins in Automotive Manufacturing

Designing and testing an automobile and the thousands of parts involved in manufacturing can be immensely expensive and very time consuming. The time commitment and financial investment are what make digital twin technology invaluable. What is a digital twin? Initially introduced 20 years ago, a digital twin is simply a virtual model used for testing processes, products, and services. Analysts, engineers, and scientists are able to study real world scenarios in safe, cost effective, and virtual worlds.

In automotive manufacturing, digital twin technology offers a more cost-effective method for testing the car, or a part of the car using the virtual twin to gain a deeper understanding of the performance of the real-world product. Twin technology can also be used for testing fixes, modifications, or repairs. In addition to the obvious cost savings, companies may save time and reduce defects in the final product.

The Driver’s Experience

Futuristic visions of self-driving cars may not be that far off, but AI offers more immediate and beneficial opportunities by upgrading the driver experience. Using computer vision, natural language processing, and robotic automation, manufacturers are producing vehicles that are safer and more comfortable. These vehicles come equipped with computer technology and connectivity that can better understand road and weather conditions, behavior of other drivers, and traffic.

Consider these systems that are coming soon or already available:

  • Driver monitoring offers services ranging from adjusting controls for different drivers to monitoring head and body position to detect drowsiness or to adjust body position during an accident.
  • Driver Assistance can utilize AI to monitor blind spots, assist with steering and braking, alert drivers of dangerous conditions, and even help park the car.
  • Driver assessment can analyze a driver’s history and predict potential issues based on historical behavior or even mood in certain circumstances.
Acelerate your career with the AI and ML Certification with Purdue University collaborated with IBM.

Choose the Right Program

Supercharge your career in AI and ML with Simplilearn's comprehensive courses. Gain the skills and knowledge to transform industries and unleash your true potential. Enroll now and unlock limitless possibilities!

Program Name AI Engineer Post Graduate Program In Artificial Intelligence Post Graduate Program In Artificial Intelligence
Geo All Geos All Geos IN/ROW
University Simplilearn Purdue Caltech
Course Duration 11 Months 11 Months 11 Months
Coding Experience Required Basic Basic No
Skills You Will Learn 10+ skills including data structure, data manipulation, NumPy, Scikit-Learn, Tableau and more. 16+ skills including
chatbots, NLP, Python, Keras and more.
8+ skills including
Supervised & Unsupervised Learning
Deep Learning
Data Visualization, and more.
Additional Benefits - Get access to exclusive Hackathons, Masterclasses and Ask-Me-Anything sessions by IBM
- Applied learning via 3 Capstone and 12 Industry-relevant Projects
Purdue Alumni Association Membership Free IIMJobs Pro-Membership of 6 months Resume Building Assistance Upto 14 CEU Credits Caltech CTME Circle Membership
Cost $$ $$$$ $$$$
Explore Program Explore Program Explore Program

Build or Improve Your AI Skills Now

While employers develop and offer training for the immediate skills of current jobs, there is going to be a continuing need for those with advanced skills for the evolving automotive world. Educational programs in AI and ML provide skills in critical areas like natural language processing, TensorFlow, computer vision, and data science. Certifications from partners like Purdue and IBM will provide credibility for those looking to optimize their value in the workplace, particularly in sectors that are experiencing massive growth like the automotive industry.

Our AI & Machine Learning Courses Duration And Fees

AI & Machine Learning Courses typically range from a few weeks to several months, with fees varying based on program and institution.

Program NameDurationFees
Applied Generative AI Specialization

Cohort Starts: 23 Jul, 2024

4 Months$ 4,000
Post Graduate Program in AI and Machine Learning

Cohort Starts: 25 Jul, 2024

11 Months$ 4,300
No Code AI and Machine Learning Specialization

Cohort Starts: 7 Aug, 2024

4 months$ 2,565
Generative AI for Business Transformation

Cohort Starts: 18 Aug, 2024

4 Months$ 3,350
AI & Machine Learning Bootcamp

Cohort Starts: 26 Aug, 2024

6 Months$ 10,000
Artificial Intelligence Engineer11 Months$ 1,449

Get Free Certifications with free video courses

  • Machine Learning using Python

    AI & Machine Learning

    Machine Learning using Python

    7 hours4.5148K learners
  • Artificial Intelligence Beginners Guide: What is AI?

    AI & Machine Learning

    Artificial Intelligence Beginners Guide: What is AI?

    1 hours4.510.5K learners
prevNext

Learn from Industry Experts with free Masterclasses

  • Navigating the GenAI Frontier

    AI & Machine Learning

    Navigating the GenAI Frontier

    16th Jul, Tuesday9:00 PM IST
  • Prompt Engineering Unlocked: Uncover the Secrets to Effective AI Conversations

    AI & Machine Learning

    Prompt Engineering Unlocked: Uncover the Secrets to Effective AI Conversations

    8th Jul, Monday9:00 PM IST
  • The Future of Work with ChatGPT: Applications for Every Professional

    AI & Machine Learning

    The Future of Work with ChatGPT: Applications for Every Professional

    28th Jun, Friday9:00 PM IST
prevNext