The Role of AI and Machine Learning on the Evolution of Connected Vehicles
On June 18, 2022, Prof. Sheshadri Mohan, a faculty member at the University of Arkansas at Little Rock in the USA, delivered an online guest lecture to MBA students on the topic of “The Role of AI and Machine Learning on the Evolution of Connected Vehicles.” The lecture aimed to explore how AI and machine learning are transforming the automotive industry and the future of connected vehicles.
In the beginning, Prof. Mohan provided an overview of connected vehicles and their importance in the transportation industry. He explained how connected vehicles use advanced technologies such as sensors, GPS, and communication networks to collect and share data, and how this data can be used to improve safety, efficiency, and convenience for drivers.
Next, Prof. Mohan discussed the role of AI and machine learning in the evolution of connected vehicles. He explained how these technologies can help connected vehicles become more autonomous and intelligent by enabling them to process vast amounts of data, learn from past experiences, and make decisions in real-time. He discussed how a major automotive manufacturer is using machine learning to analyze data from sensors in its vehicles to detect and diagnose mechanical issues before they become serious problems. He also highlighted how a leading ridesharing company is using AI to optimize its fleet of vehicles and improve the overall rider experience.
Prof. Sheshadri Mohan’s lecture was informative and insightful, providing MBA students with a deeper understanding of the role of AI and machine learning in the evolution of connected vehicles. The lecture provided students with practical examples of how these technologies are already being used in the automotive industry and the potential benefits that they can provide in the future.
