Eindhoven,
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As the automotive industry shifts its focus from horsepower to computing power, data will drive future automotive innovation.This shift has the potential to provide valuable vehicle insights and drive new data-driven service revenue.Expanded access to real-time, vehicle data, secure connections to cloud services, and simplified machine learning (ML) can speed up the transition and enable smart vehicles to improve their service life through remote updates.
In order to achieve promising services for future connected vehicles, the automotive industry needs a new type of computing solution that must be able to centrally access data across the entire vehicle in order to safely collaborate with the cloud.The integration of AWS edge and cloud services and NXP's new S32G vehicle network processor for service-oriented gateways solves this challenge.
"NXP is pleased to work with AWS to help our automotive customers accelerate their digital transformation plans by unlocking the value of vehicle data and leveraging edge-to-cloud services," he said.
Real-time vehicle insights can drive countless new use cases and services.For example, automakers can monitor potential component failures before repairs are needed, prevent expensive warranty repairs and recalls, optimize the supply chain, and improve the customer experience by minimizing service visits.
Mobile and insurance companies can use the expanded data to create new business models and provide drivers with cost reduction benefits based on vehicle conditions and driving behavior.Automakers can provide fascinating services that use vehicle sensors and other data to create new user experiences and functions, such as remote viewing in and around the vehicle to provide convenience, safety, and security.
NXP S32G processor utilizationAWS IoT GreengrasswithAWS IoT CoreCarry out vehicle and cloud data processing and storage, and Amazon SageMakerAnd Amazon SageMaker NeoTo build, train and deploy optimized ML models.NXP's ASPICE certificationeIQ Auto ToolkitSupport deep learning inference in vehicles.The original S32G platform has been qualified for AWS IoT Greengrass, and Yocto meta-layer support can be used to support today's automotive customer innovation.
NXP (NXP) and AWS (AWS) will holdInternet Conference, Discussing connected car solutions and demonstrating an Internet-based connected electric vehicle (EV) management system