BlackBerry Limited announced a partnership with Amazon Web Services (AWS) to demonstrate a connected vehicle software platform for in-vehicle applications. The platform combines the safety and security of BlackBerry’s QNX real-time operating system with AWS’ Internet of Things (IoT) Services in the cloud and in the car. The suite of automotive offerings will be demonstrated at the Consumer Electronics Show (CES) Jan. 7-10, Las Vegas.
The platform enables automotive manufacturers to securely access data from vehicle sensors, and create software applications and machine-learning models for connected, electric, and autonomous vehicles.
With the AWS-powered BlackBerry platform, automotive OEMs can expedite their vision of continuously and quickly bringing innovative connected vehicle services to market. Some services include cockpit personalization, vehicle acoustic conditioning, vehicle health monitoring, and advanced driver assistance systems (ADAS) features.
Car companies can also leverage this platform for their new software-centric electric car and autonomous platforms, enabling essential functions such as continuous EV battery life monitoring and prediction, and managing vehicle sub-systems to control warranty costs.
The platform combines the two companies’ edge and cloud technologies into a comprehensive edge-to-cloud offering for the global automotive industry. QNX software allows automotive OEMs to develop and run a common software platform across in-vehicle systems such as gateways, TCUs, engine controllers, digital cockpits and emerging domain controllers. AWS capabilities enable automotive software developers to securely and easily access data from vehicle sensors, build software applications and machine learning (ML) models using vehicle data, and deploy them inside the vehicle to enable in-vehicle inference and actions.
It will integrate the BlackBerry QNX operating system and over-the-air software update services, with AWS IoT cloud services for secure connectivity and telematics, Amazon SageMaker for developing ML models, and AWS IoT edge services for in-vehicle ML inference.
For more information, visit https://www.blackberry.com/us/en/company/overview
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