Automotive Fleet Analytics in the Cloud with MATLAB

Data collected from test and customer vehicle fleets can add value at every stage of vehicle development and operation, allowing engineers to test software features on real-world data, understand how vehicles are used in the real world and perform predictive maintenance of in-service vehicles.

MATLAB and Simulink are used across the automotive industry to model physical systems, design embedded software and train AI models on engineering data. Combining these tools with cloud technologies enables engineering teams to scale up their work to larger data and computational resources, allowing them to leverage new datasets with existing code and models.

This three-part webinar series covers all stages of working with automotive fleet data, from preprocessing and organizing your data, to automating analysis and models at scale in the cloud.