Title

AWS re:Invent 2022 - The next generation of vehicle technologies (AUT202)

Summary

Stefano Marzani introduces the session, highlighting AWS's automotive software development approach (SDV) and the automotive development infinity workflow.
BMW presents their Connected AI Platform, which scales AI across the company to enhance customer experiences. The platform integrates DevOps engineers and data scientists, allowing them to focus on their expertise while sharing the same infrastructure.
Bosch discusses their collaboration with AWS and BlackBerry Ivy, aiming to tap into the software community's innovation power. They emphasize the shift from decentralized to centralized vehicle architectures and the importance of synthetic sensors and developer interfaces.
BlackBerry Ivy is introduced as a middleware for the "big loop," enabling sophisticated edge logic in ECUs to work in tandem with cloud-defined AI and ML. It provides a framework for developers to create virtual sensors and services.
Stefan Birkel from Bosch elaborates on the company's role in the automotive industry, the shift towards software and electronics innovation, and the collaboration with BlackBerry Ivy and AWS to enable data utilization and innovation.
Demonstrations of the technology are available at the industry demo tent, and a hands-on AWS workshop on Ivy (AUT 303) is announced.

The automotive industry is increasingly relying on AI and ML throughout the vehicle lifecycle, from pre-sales to post-sales services.
BMW's Connected AI Platform is a significant step towards scaling AI in the automotive sector, providing a unified infrastructure for AI and non-AI use cases.
Bosch's collaboration with BlackBerry Ivy and AWS is focused on creating an ecosystem that allows for the development of innovative services and functionalities by leveraging vehicle data in a secure and privacy-conscious manner.
The concept of synthetic or artificial sensors is crucial for enabling developers outside the traditional automotive supply chain to contribute to vehicle innovation.
The shift from decentralized to centralized vehicle architectures (domain architecture) is a trend that facilitates the integration of third-party software and the efficient use of vehicle data.
AWS's role is to support the automotive big loop with its machine learning framework, SageMaker, AI services, and CI/CD, in collaboration with BlackBerry Ivy.
The industry is at a crossroads where the willingness to make vehicle data available to external developers will determine the pace and breadth of innovation in the automotive sector.