10:00-10:25: SDV Pulse – The Technology Driving the Future
Aleksandar Tolev, Daniel Schleicher (AWS), Erik Dörnenburg (Thoughtworks)

In this session participants will gain an overview of latest developments, emerging technologies, and best practices in the area of software defined vehicle. Based on the joint report from Thoughtworks and AWS subject matter experts of both companies identified and explained 40 trends they see at customers. The presenters will walk the audience through the report an highlight trends which are noteworthy and will share their own opinions on the topics.
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10:25-10:50: Eclipse SDV – How Open Source Helps Approaching the Software-defined Vehicle
Ansgar Lindwedel (Eclipse Foundation)

Ansgar is going to talk about what SDV means in terms of maturity steps in SW and how more and more automotive companies embrace open source in their development. He will highlight a few recent activities within the Eclipse SDV working group. Thereby offering a big picture to dig into the topic of open source in automotive and also some details for those who are already familiar with the topic.
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10:50-11:15: What is Real-Time SDV?
Dieter Schwarzmann (Robert Bosch GmbH)

The concept of real-time systems is integral to the software-defined vehicle, where for many applications the timely execution of processes is paramount. However, a clear meaning of what exactly constitutes a real-time system is often unclear. In this presentation, "What is the Real-Time SDV," we will explore the fundamental meaning of real-time computing, including the definition and impact of determinism of these systems. This will be complemented by a concrete, hands-on example.

By the end of this 20-minute presentation, attendees will gain a common definition and intuitive understanding of what constitutes a real-time and deterministic system.

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10:00-10:25: AI meets Automotive: Wie künstliche Intelligenz das digitale Kundenerlebnis im Fahrzeug revolutioniert
Mark Medinger, David Marz (mm1 Consulting)

Künstliche Intelligenz (KI) revolutioniert Mensch-Maschinen-Interaktionen im Alltag – damit auch zwischen uns und unseren Fahrzeugen. Intelligentes Analysieren individueller und kollektiver Nutzungsdaten heben Anwendungen für Navigation, Infotainment oder Komfort auf ein neues Niveau. Unser Fokus liegt darauf, wie KI die Benutzererfahrung im Fahrzeug revolutioniert und neue Standards setzt. Dies bietet nicht nur Kunden ein verbessertes Mobilitätserlebnis, sondern auch neue Möglichkeiten für Hersteller und Zulieferer. Der Vortrag richtet sich an Fachexperten/Interessierte, die sich über neueste Entwicklungen und Anwendungsmöglichkeiten von KI im Automotive-Umfeld informieren möchten. Erfahren Sie, wie diese Technologie die Zukunft der Mobilität prägt und welche Potenziale sie freisetzt. 
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10:25-10:50: In-Car-Commerce as a Component of the Software-defined Vehicle
Maximilian Nagel, Tim Steiner (Mercedes-Benz)

E-Commerce is an ever-present topic. Every big, competitive company nowadays cares about its online-presence and in most cases also about the online revenues. In this Spot-on we will challenge In-Car-Commerce, the terminology describing sales via the Infotainment screens in the car. What is the status of different OEMs regarding In-Car-Commerce? What is an imaginable system architecture to establish an In-Car-App? What exactly is an In-Car-App and how does it differ from Web-Apps and regular Smartphone Apps? What are implementation guidelines in current ICA-development and how could the way forward (FOSS, Frameworks) could look like? We will evaluate what to possibly share from Mercedes-Benz without violating company secrets. 
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10:50-11:15: The Future of Vehicle UX is Hyper-Personalization
(Georg Hansbauer (Testbirds); Tom Acland (Dassault Systèmes 3DEXCITE)

The automotive industry is undergoing a transformation towards hyper-personalization, where vehicles are increasingly customized to meet the specific needs of highly targeted customer segments. The Software-Defined Vehicle (SDV) concept, combined with in-vehicle app stores, forms the digital backbone for personalized user experiences, while open hardware plug-in interfaces and innovative manufacturing methods present new avenues for hardware customization. This presentation examines how Original Equipment Manufacturers (OEMs) can integrate agile methodologies, crowd testing, simulation, and systems engineering to create vehicles that align with customer expectations. Two concrete examples will be discussed: Bring Your Own Device (BYOD) integration for passenger cars and customized fleets of light commercial vehicles, showcasing how these strategies can drive enhanced customer engagement and satisfaction in diverse markets.

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11:45-12:10: Harnessing GenAI for Software-Defined Vehicles: Transforming Products and Processes
Sascha Sambale (Bosch Digital)

Generative AI (GenAI) is revolutionizing the automotive industry, offering transformative opportunities for both Product AI and Process AI within Software-Defined Vehicles (SDVs). Product AI applications leverage GenAI to enhance automated driving systems, improve safety-critical functions, and create advanced in-vehicle experiences. On the Process AI side, GenAI is streamlining SDV development, managing complex regulations, optimizing test management, and enabling continuous homologation.

This presentation explores the path to adopting GenAI within organizations, focusing on internal challenges and opportunities. Key topics include overcoming technical hurdles in training and deploying models, addressing legal and ethical concerns, and ensuring data privacy and security. The discussion also covers practical strategies for embedding GenAI into organizational workflows while maintaining compliance with industry standards and global regulations.

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12:10-12:35: Unlock Value with Gen AI: Test Development Assistant in the Software Defined Vehicle
Andreas Geiss (Aleph Alpha)

Over 40% of tasks from knowledge workers such as software developers or development engineers in automotive are repetitive. We identify these tasks and build a solution that can reduce the overall test development time by over 30%. On top, the solution provides a higher overall quality and ensures, that all requirements are thoroughly implemented and tested.
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12:35-13:00: Towards an End-to-end AI Experience: Combining Embedded, Edge and Cloud AI within the Software-Defined Vehicle
Marco Wagner (Hochschule Heilbronn)

In recent years, Artificial Intelligence has already proved to provide massive benefits in the automotive domain. Pilot use cases such as driver assistance or data-based services have already made it to our roads to the benefit of both the automotive OEMs and their customers.
At the same time, the E/E architecture of modern vehicles changes dramatically on the pathway towards a true Software-Defined Vehicle. This fact opens up new opportunities to leverage AI not only in the cloud or central computers but also in smaller control units deeper integrated into the vehicle‘s mechatronics. In this talk, hybrid approaches will be discussed that may help to shape future automotive AI systems along the continuum of device, edge and cloud computing.

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11:45-12:10: How SysML v2 Can Speed-up the Development of SDVs - and What It Needs Besides the Standard
Simon Roth (Bosch)

SysML v2 brings new chances for effective exchange and integration of models and collaboration models based on them. To benefit from them, we actively shape the currently ongoing tool development in this direction. In this talk, we show some of the new features of the SysML v2 standard and what is needed beyond this. 
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12:10-12:35: Future-proof Approaches in Automotive Systems and SW Engineering – First time right, as fast as possible or both?
Jörg Schäuffele (Vector Informatik)

SDVs offer a big design space reaching from deeply embedded sensors, actuators and ECUs via Zone Controllers and High Performance Computers to the IT Backend. The complexity of the overall system reaches a new level compared to the E/E architectures of past, while some constraints of the past as limited resources disappear. At the same time the functions of SDVs have still to fulfill unique Automotive constraints such as hard real time requirements, high functional safety constraints and very long product life cycles compared to cyber physical systems in other industries. Successful approaches in Automotive Systems and SW Engineering have to consider these unique requirements and constraints.

This presentation will focus on a sound and consistent architecture of the complete SDV system as a key aspect. The requirements of the different functional domains and the capabilities of the different SW platforms utilized in SDVs have to be brought under one roof. The system wide architecture can be utilized to implement and maintain features, functions, systems and software – and is the base to define the right approaches in Systems and SW Engineering.
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12:35-13:00: Panel: System Modeling and EAM
Simon Roth (Bosch), Jörg Schäuffele (Vector Informatik), Dirk Slama (Bosch)

As the automotive industry evolves towards Software-Defined Vehicles (SDVs), traditional development frameworks like ISO 26262 and Automotive SPICE (A-SPICE) are challenged by the need to integrate core vehicle functions with cloud-based and smartphone applications. This convergence blurs the lines between model-centric systems engineering and code-centric, agile development methods. How should system architects address the challenges arising from this conflict?

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14:00-14:30: SDV Virtualization for Safe and Secure Feature Development
Ulrich Schulmeister (Bosch)

In the dynamic evolution of Software Defined Vehicles (SDV), virtualization technologies have become essential for streamlining development processes and ensuring the continuous update of vehicle functionalities post-deployment. This presentation explores the maturity requirements of virtualization and the critical role of Model-Based Systems Engineering (MBSE) in accelerating the maturity of virtualization frameworks, emphasizing its impact on enabling over-the-air (OTA) updates and subsequent vehicle software modifications.

We will highlight how virtualization, paired with cloud-native architectures, enhances the reliability, scalability, and efficiency of SDV systems. By leveraging robust simulation environments, such as IPG Carmaker and digital.auto, we aim to advance the development of distributed automotive features and enable seamless integration of real-time updates to vehicle fleets.

Our discussion will focus on the credibility of simulation and qualification techniques tailored to SDV ecosystems, ensuring that software updates can be rigorously tested and validated in virtual environments before deployment. Furthermore, we will underscore the role of secure teleoperations and Level 4 autonomy within SDVs, supported by a digital twin approach to continuously simulate vehicle behaviors in real-world conditions.

The presentation will highlight ecosystem collaborations with industry leaders through digital.auto for providing a cloud-based simulation aimed at enhancing SDV capabilities.
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14:30-15:00: Workflow and Data Management for Continuous Virtual Development and Validation of Driving Functions in Software-Defined Vehicles
Michael Kochem (IPG Automotive GmbH)

Developing, validating/releasing and updating SDVs using real test drives is uneconomical and sometimes impossible. In addition to data replay, scenario-based simulations enable comprehensive tests in various situations. This requires different test environments with variable real or virtual parts to ensure seamless, reproducible results. Fully virtual components enable to quickly drive many relevant test kilometers through parallelization in the cloud. The Virtual Vehicle Development Tool Suite VIRTO will be used to demonstrate the methodology behind a superordinate simulation access level to manage data, models and software for virtual development. VIRTO supports diverse test methods, simplifies data and workflow management and integrates seamlessly into existing development processes.

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15:00-15:30: The virtual vehicle – state of the nation
Ulrich Schulmeister (Bosch), Felix Strauß (Bertrandt), Markus Behle (ETAS)

Virtual vehicle technologies, from advanced vECU levels and virtual BUS systems to co-simulation frameworks, are transforming automotive development. This panel explores the current status of these tools and their role in accelerating testing, validation, and homologation for software-defined vehicles. Looking ahead, we’ll discuss emerging trends like AI-driven validation and digital twins, and pose an open question: how will these advancements reshape physical test system design and its role in future development cycles? Join us to examine the state of the art and the road ahead for virtual vehicles.

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14:00-14:30: Car 2 Factory: SDV meets SDF
Peter Stechel (AUDI AG)

The SDV is assembled in the factory in stages and put into operation on a modular basis. Communication between the vehicle and the factory requires a coordinated data strategy. AUDI AG's Software Driven Factory is being developed in parallel and iteratively with the SDV.
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14:30-15:00: The Future of Software-Defined Vehicles and Embedded Finance
Thomas Hilgendorff (Yapeal)

The future of SDVs and Embedded Finance (EF) is poised for a unique symbiosis that could transform multiple industries. The intersection of SDVs and EF has tremendous potential to create more integrated, user-friendly experiences for consumers, improve vehicle services, and pave the way for innovative business models in transportation and finance. As this field evolves, companies will need to remain agile and proactive to capitalize on these opportunities while addressing challenges related to security, regulation, and user privacy.

• Enhanced Customer Experiences
• Data Monetization
• Smart Ecosystems
• Regulatory and Security Considerations
• Market Disruption

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15:00-15:30: Navigating System Variability: A Holistic Approach to Lifecycle Management across Software and Hardware
Danilo Beuche (PTC)

With complex systems composed from complex mechanical systems, electronics, and software, managing software and hardware lifecycles becomes a significant challenge. This gets even more amplified in the context of systems built on top of long-lived platforms. Beside all the complexity that a single system instance has, it must deal with variability concepts to tailor/instantiate the parts for use in the specific variant.  

Traditional methods of handling system variability in code exacerbate complexity in verification, validation, certification and updates. At the same time, especially in the context of SDV, the software engineering lifecycle is faster and yet much longer lived than that of physical parts.  

In this presentation, we will explore how a holistic approach based on variability models combined with ALM and PLM capabilities can serve as a common language across systems, mechanical, and software engineering, facilitating smoother integration, testing, and lifecycle management. By leveraging Product Line Engineering (PLE), Application Lifecycle Management (ALM), and Product Lifecycle Management (PLM), organizations can address long-term platform lifecycles alongside DevOps and over-the-air updates (OTA). Join us for insights into PTC's holistic solution architecture to illustrate how these strategies can be applied in practice. 

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16:00-16:30: Virtual Test in Practical Application
Felix Strauß (Bertrandt)

The trend towards software-defined vehicles (SDV) is increasingly increasing the complexity of the software in the vehicle. On the one hand, this makes the usual linear validation and integration processes more difficult. On the other hand, the increase in complexity can hardly be controlled by using hardware-based test platforms. Further hardware scaling seems unrealistic and uneconomical as complexity increases. Virtual testing using virtual ECUs in particular offers a remedy here. It should be emphasized that virtual testing means much more than classic software-in-the-loop testing (SiL). Rather, a very realistic image of control units can be created by integrating basic software and, if necessary, additional chip emulation. Various integration levels of virtual control units offer holistic validation of vehicle software. Each level offers both opportunities and corresponding limitations. These must be known and evaluated accordingly in order to be able to set up a digital validation process. The main focus must be on a holistic integration process.

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16:30-17:00: Harnessing Engineering Data for Scalable SDV Development
Benjamin Schrempf (KPMG)

In the era of Software-Defined Vehicles (SDVs), the ability to manage and utilize engineering data effectively is a cornerstone of successful algorithm development and scalability. This presentation explores how a data organization serves as the foundation for creating SDV algorithms capable of addressing the complexity of vehicle variants.
SDVs demand robust data management strategies to move beyond isolated proofs of concept and enable scalable, variant-aware solutions. A central data governance organization provides the framework for consistent data policies, standards, and procedures, ensuring high-quality and integrated data across domains. This approach minimizes silos, enhances data security, and ensures compliance with regulations while supporting the iterative and dynamic nature of SDV development.
The presentation delves into the critical role of data integration and quality in enabling informed decisions, seamless cross-domain functionality, and effective algorithmic development. It also highlights practical examples of how centralized data governance accelerates SDV innovation, from simulation-driven development to real-world deployment.
Aimed at engineers, data strategists, and decision-makers in the automotive industry, this talk provides actionable insights and best practices for leveraging centralized data governance to achieve scalable, variant-compatible SDV development.

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16:00-17:00: Panel with TÜV Rheinland, T-Systems, ETAS, and Certivity
Jens Neuser (TÜV Rheinland), Markus Sutterer (T-Systems International), Achim Nonnenmacher (ETAS), Nico Wägerle (Certivity)

In the era of Software-Defined Vehicles (SDVs), "Continuous Homologation" is becoming essential to manage the ever-evolving landscape of global regulatory requirements. These sessions will explore how leveraging Generative AI (GenAI) can revolutionize the process of continuous homologation by intelligently managing diverse regulations and mapping them to OEM-specific requirements and technical solutions.

We will discuss how GenAI can automate the identification and analysis of regulatory changes worldwide, significantly reducing the manual effort required to stay compliant across different markets. GenAI can also facilitate real-time mapping of these regulatory requirements to specific OEM needs, ensuring that vehicle software and systems are designed to meet compliance from the ground up. By integrating GenAI-driven insights, OEMs can streamline homologation processes, reduce costs, and accelerate time-to-market for SDVs. Join us to discover how advanced AI technologies are reshaping compliance strategies and enabling continuous, agile adaptation to regulatory landscapes for the automotive industry.