Eleonora Scherl is a Senior Product Manager for AWS Automotive based out of Germany. Before joining AWS, Eleonora worked for 13 years at Volkswagen Group. With a background in Logistics- and Supply Chain Management, she transitioned into a software technology-driven environment, delivering support in- and around the vehicle software solutions. She works with and across AWS teams and customers, leading the discovery, validation, and build of net-
new software solutions in the automotive and logistics industry.
Keynote
Tuesday, June 17
08:30 am - 08:55 am
Live in Berlin
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This presentation explores a revolutionary approach to automotive software development that leverages the power of AWS, GitLab, and Amazon Q to create a seamless, efficient, and quality-driven workflow. We demonstrate how the integration of a generative AI GitLab Duo assistant based on Amazon Q, combined with deep-linking capabilities into developer workspaces transforms the software development lifecycle for the automotive industry. The workflow begins with AI-assisted code generation and review, allowing developers to interact with their familiar toolchain while receiving intelligent suggestions and automated checks. We then showcase the seamless transition from development to testing through deployment into a virtual electric electronic (vEE) architecture, enabling rapid iteration and validation of software changes. A key highlight of this approach is the binary parity maintained between the virtual testing environment and physical targets, including test benches and actual vehicles. This consistency ensures that artifacts created and tested in the cloud can be confidently deployed to real-world automotive systems with minimal friction. We will discuss how this cloud-centric workflow dramatically improves software delivery speed and quality on a global scale. By enabling collaboration between OEMs, Tier suppliers, and globally distributed teams through shared cloud environments, we break down traditional barriers in automotive software development.
This session will present: