Keynote: Accelerating Automotive Software Development — Seamless AI-Driven Workflows from Cloud to Car with AWS

Session

Accelerating Automotive Software Development — Seamless AI-Driven Workflows from Cloud to Car with AWS

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:

Integrated AI-driven development workflows: Utilizing AWS, GitLab, and Amazon Q for AI-assisted code generation, review, and quality checks
Global collaboration and efficiency: A cloud-based workflow that connects OEMs, Tier suppliers, and distributed teams, accelerating software delivery
Seamless cloud-to-car pipeline: Enabling smooth transitions from development to deployment using virtual electronic architectures for rapid iteration
Binary parity across environments: Ensuring consistency between virtual testing and real-world deployment on test benches and vehicles

Presentation

Speaker

Eleonora Scherl

Senior Product Manager, Amazon Web Services

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.

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Dr. Patrick Bartsch

Principal Technology Evangelist, Auto – AWS Industry Products, Amazon Web Services

Dr. Patrick Bartsch has been a Principal Product Technology Evangelist at Amazon Web Services (AWS) since 2020, bringing nearly two decades of global automotive industry experience to his role. His work focuses on enhancing automotive software development experiences, virtualizing embedded development targets, and leveraging generative AI to support in-vehicle software design, development, validation, and verification. Patrick and his team have been instrumental in bringing embedded operating systems to the cloud, making them accessible to AWS customers in collaboration with industry partners. Recognized for his thought leadership, Patrick frequently speaks at major industry events, authors blog posts, and actively engages in customer transformation programs. In his current role, Patrick is dedicated to transforming the automotive industry through tailored offerings in E/E architectures, software-defined and connected vehicles, and cloud products and services. His efforts aim to shift left the overall automotive-embedded software development process, driving innovation and efficiency in the sector. Before AWS, Patrick served as Head of Technology Specialists Connected Car at Jaguar Land Rover, where he oversaw connectivity solutions from vehicle to cloud, connected car cybersecurity, and on-board and off-board Application Programming Interfaces. His team delivered a cutting-edge connectivity solution featuring dual e-sim and local sim-profile download capabilities, while also establishing the connected car cyber security framework and API design forum. Patrick's career includes roles at Audi and Volkswagen, where he contributed to various aspects of automotive technology. His experience spans from software development for embedded units and engine control optimization to leading infotainment system architecture design and connected car projects. Academically, Patrick holds a PhD in Electronics and Computer Science from the University of Hanover, Germany, complementing his Diploma in Mechanical Engineering (Automotive) from the University of Brunswick, Germany. He serves as a Lecturer at the University of Stuttgart, Germany, in mobile application development and as an examiner at the University of Exeter, United Kingdom.

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Company

Amazon Web Services

http://aws.amazon.com/

Amazon Web Services (AWS) provides world-leading cloud technologies that help any organization and any individual build solutions to transform industries. Offering over 200 fully featured services from data centers globally, it is trusted by startups, enterprises, and government agencies, AWS provides scalable computing power, storage, databases, AI/ML, IoT, and security solutions. Its flexible, pay-as-you-go model enables businesses to innovate faster and optimize costs. With industry-leading security, reliability, and a vast partner network, AWS empowers organizations to build, deploy, and scale applications seamlessly. From cloud migration to advanced analytics, AWS accelerates digital transformation, helping businesses stay agile and competitive in a rapidly evolving technological landscape.

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