Maching learning: further advantages

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Generally speaking, it should also be remembered that machine and deep learning systems have further applications in the automotive sector: from advanced driver assistance systems with assisted braking ( ADAS ) to development, production, sales and after-sales processes.

Machine learning also becomes an essential ally when it comes to personalized infotainment and location-based services, as well as business process automation and price optimization .

Infotainment and AI: a new way to experience the car
Infotainment is certainly one of the most interesting aspects regarding the relationship between AI and communication because this type of system allows you to perform a variety of operations without being distracted from driving. The term, in fact, comes from the union of two English words information and entertainment .

With the introduction of these systems, the way azerbaijan phone number data we “experience” the time spent in the car has certainly changed since, using the on-board display as an interface , it is possible to take advantage of various functions while remaining concentrated while driving:

GPS satellite navigation
parking sensors
voice commands
Hands-free calls
listening to streaming music
Bluetooth connectivity
The way we experience travel has, therefore, inevitably changed and the car itself has become a pleasant companion even during long journeys.

The potential of infotainment, however, does not end here: thinking about the possibility of transferring part of a communication into the car, we could arrive at real-time marketing solutions in which we are sent an offer, depending on the area we are in, thanks to sensors distributed throughout the city capable of communicating with the entertainment systems of our vehicle.