We develop innovative Artificial Intelligence algorithms that use data and modelling to analyze and solve increasingly complex problems, particularly with respect to the use of connected vehicles.
The quality of big data and algorithms determines the accuracy of the results, which in turn influences the choices of decision makers at various levels: vehicle manufacturers, rental companies, fleet managers, and the drivers themselves.
We have always been committed to a process of continuous improvement of our Artificial Intelligence models to ensure increasingly precise, effective, and rapid responses and suggested actions.
Machine Learning is becoming increasingly central to the management of fleets of connected vehicles. Highly sophisticated algorithms allow the Open Mobility Platform – the automotive IoT platform – to learn how to identify significant events, facilitating interactions and appropriate business actions.
For example, Machine Learning makes it possible to identify patterns of a potential vehicle theft or misappropriation and automatically alert the Control Room , or to recognize a vehicle that needs maintenance, prompting the driver or operative to take the appropriate action.
We have advanced devices capable of collecting and transmitting telematics data from vehicles in a precise, fast, and reliable manner.
The sensors and instruments available detect data such as satellite tracking, control unit signals, vehicle status, driver recognition, presence of heavy machinery booms or power takeoffs, and so on.
Through the device’s network connection, this data is transferred to our IoT platform where it is processed and made available to our suite of value-added applications.