This document discusses the use of artificial intelligence (AI) in the automotive industry. It provides an introduction to the automotive industry and AI, outlines advantages and disadvantages of AI, and challenges of applying AI to automotive such as complexity, localization, and security. To overcome AI challenges, the document recommends addressing them with a skilled vendor, testing solutions, training employees, and ensuring continuous algorithm improvement with subject matter experts. Overcoming challenges could lead to a revolutionary transformation of the automotive industry through AI.

1. Submitted by – Pragati Kumari
Roll no.- 2204280700034
MBA 2nd Semester

2. Content
 Introduction to Automotive Industry
 History of Automotive Industry
 Introduction to AI
 Advantages and Disadvantage of AI
 Challenges ahead AI Automotive Application
 How to overcome AI Challenges
 Conclusion

3. Introduction to Automotive Industry
 The automotive industry, also known as the
automotive sector, encompasses companies and
organizations involved in the design,
production, marketing, and sell of motor
vehicles such as cars, trucks, buses,
motorcycles, and other vehicles.
 It is one of the largest and most important
industry in the world, providing jobs and
contributing to the economy of many countries.
 The automotive industry is constantly evolving
and innovating, with new technologies and
trends shaping it’s future.

4. History of Automotive Industry

5. Introduction to AI
 Artificial intelligence is the simulation of human
intelligence process by machines, especially
computer systems. Specific application of AI
include expert systems, natural language
processing, speech recognition and machine vision.
 Artificial intelligence is a software think
intelligently, in the similar manner the intelligent
human think.

6. Advantages and Disadvantages of AI
Advantages
 Good at detail-oriented
job;
 Reduced time for data-
heavy task;
 Deliver consistent results;
 AI-powered virtual agents
are always available.
Disadvantages
 Expensive;
 Requires deep technical
expertise;
 Limited supply of
qualified workers to build
AI tools;
 Lack of ability to
generalize from one task
to another.

7. Challenges Ahead AI Automotive
Application
Fundamentals
Level of
complexity
Localization
Security

8. How To Overcome AI Challenges
 Address the AI vendor with the relevant portfolio and
expertise.
 Work with a skilled business analyst to determine which of
your processes and IT systems could benefit from AI.
 Consider how ethical issues might prevent you from using
AI to the fullest.
 Create a proof of concept to test the solution feasibility
and work around technology-related AI pitfalls.
 Devise a detailed AI project implementation map covering
solution development, integration, and scaling, as well as
employee onboarding.

9.  Together with your vendor, start building your system
while ensuring continuous knowledge sharing.
 Do not raise your hopes high; it takes time, patience, and
lots of data to build AI solutions capable of enhancing or
taking over critical task.
 Appoint subject matter expert to fine tune AI algorithms.
 Educate your employees about the importance of data
driven decision making and optimization opportunities
offered by artificial intelligence.

10. Conclusion
The rise of AI in the automotive industry presents significant
opportunities and challenges. AI has the ability to transform
transportation, from self-driving vehicles to predictive
maintenance system. In order to fully realize the advantages
of AI, both automakers and technology companies need to
tackle the ethical and technical obstacles that come with it.
This includes concerns such as privacy and security, as well
as ensuring fairness and avoiding bias.
Overcoming these challenges could lead to a revolutionary
transformation of the automotive industry through the
utilization of AI beyond our imagination.