Automotive industry is among the industries at the forefront of using Artificial Intelligence. Suppliers and automakers realize that the AI engines can be used to make life in the car more convenient, for both the driver and the passengers. Using natural language processing (NLP) and machine learning techniques make it possible to create in-car assistants that can respond to voice commands and infer what actions to take, without needing a direct command.

Use Cases

Autonomous fleets for ride sharing

Would enable travelers to access the vehicle they need at that point, rather than having to make do with what they have or pay for insurance and maintenance on a car that sits in the drive for much of the time.

Semi-autonomous features such as driver assist

Automatic braking, collision avoidance systems, pedestrian and cyclists alerts, cross-traffic alerts, and intelligent cruise controls are some of the lesser features being powered by AI.

Engine monitoring and predictive, autonomous maintenance

Systems that use AI are capable not just of collecting information and then applying a response but are able to adapt and change. Many systems use AI to control idle speed and also to adapt air-fuel ratios in response to a lambda sensor signal.


  • Improved safety
  • Time saving
  • A machine to drive you around and "on-demand" flexibility