Volkswagen Group has over 65,000 employees, 13 brands, and 114 facilities worldwide, generating over $320 billion in revenue.
Their portfolio includes a mix of combustion engine and fully electric vehicles, such as the Golf, ID family, and the upcoming Scout electric pickup and SUV.
Key Technological Trends
Digitalization and Autonomy: Cars are becoming IoT devices, integrating with smartphones and cloud services for various functionalities.
Electrification: The shift towards electric vehicles requires updates to production processes and machinery.
Supply Chain Resilience: Dealing with disruptions and ensuring reliable supply chains is crucial.
Sustainability: Reducing the carbon footprint is a key priority for Volkswagen.
Globalization: Leveraging global expertise and collaboration for product development.
Volkswagen's Operational Landscape
Process: The end-to-end automotive process, from customer order to production and logistics.
Systems: Various systems involved, including production planning, production control, warehouse management, and software management for vehicle ECUs and TCUs.
Data: Data is central, connecting all aspects of the operation, requiring harmonization and integration.
Partnership with AWS
Volkswagen and AWS have been collaborating for the past 5 years, with AWS providing cloud services and helping Volkswagen scale cloud solutions globally.
The partnership has focused on driving innovation and using the cloud as an enabler.
Use Case: Wheels Object Detection
The wheels object detection use case was developed in 2024 using the Iris Core cloud-based computer vision solution.
The architecture leverages various AWS services, including SQS, SNS, Lambda, DynamoDB, and API Gateway, to create a scalable and highly available solution.
The use case demonstrates the reusability of the architecture for different industrial computer vision applications.
Evolving the Narrative and Architecture
Volkswagen has adjusted its narrative and architecture to focus more on modernizing its core production and logistics systems.
The goal is to create a more reusable and abstracted platform, allowing easier integration and adoption of new technologies, including AI and Machine Learning.
This approach aims to reduce the complexity and cost of maintaining legacy systems while enabling more agile development and deployment.
Future Plans: Leveraging AI and Generative AI
Volkswagen is exploring the use of generative AI to analyze existing code and identify opportunities for better code organization and architecture.
The goal is to preserve the logic and functionality of legacy systems while modernizing the underlying architecture and code.
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