Category: Automotive

Introduction Connected Mobility (CM) integrates vehicles, infrastructure, and data analytics to enhance user experience, safety, and reduce emissions. System resilience is critical as disruptions can cause: 1/direct customer impact on vehicle remote functions 2/brand reputation damage through negative publicity 3/manufacturing disruptions 4/revenue loss and legal consequences. Disaster Recovery (DR) is essential to prepare for natural […]

Toyota Motor Europe NV/SA (TME) oversees the wholesale sales and marketing of Toyota, GR (GAZOO Racing), Lexus vehicles, parts and accessories, as well as Toyota’s European manufacturing and engineering operations. As part of their strategic Legacy Modernization program, TME is exploring the use of generative artificial intelligence (generative AI) to accelerate their mainframe migration efforts. […]

At AWS re:Invent 2025, Nissan Motor Co., Ltd. (Nissan) announced the Nissan Scalable Open Software Platform, built on AWS, that accelerates Software-Defined Vehicle (SDV) development. Nissan began collaborating with AWS in 2023 to modernize its global engineering environment, reduce development bottlenecks and support next-generation vehicle innovation. By migrating testing pipelines to AWS and standardizing development […]

The BMW Group, headquartered in Munich, Germany, employs 159,000 people across more than 30 production and assembly facilities in 15 countries. As an automotive innovation leader, BMW Group has been working to stay at the forefront of digital transformation by using data and artificial intelligence (AI). In 2020, BMW Group launched the Cloud Data Hub […]

In this blog post, we will learn about how AUMOVIO used the services and expertise of Amazon Web Services (AWS) to develop an innovative automotive coding assistant on the domain of software-defined vehicles (SDV). AUMOVIO’s solution makes use of multiple AI models to accelerate different development lifecycle steps while helping to ensure alignment with automotive […]

In this post, you’ll learn how AWS and Qt Group collaborated to support innovation in automotive user interface (UI) development. By combining AI-powered code generation (Kiro) and automated testing (Squish) using virtual targets on AWS, customers like Schaeffler, Nissan, Stellantis and others can work to reduce defects and accelerate development workflows. The automotive industry is […]

AWS re:Invent 2025, our flagship annual conference, took place December 1–5, 2025, delivering five days of keynotes, breakout sessions, product announcements, and live demos, introducing several new services and features. This recap focuses on the most relevant highlights for automotive and manufacturing: the core announcements, real-world customer examples, and featured demos. Everything is organized by […]

Democratizing Generative Artificial Intelligence (GenAI) and enabling enterprise-scale use case development is critical to realize the full potential of GenAI [HBR Data Visual, 2025]. This democratization can be achieved technically through a GenAI Gateway that serves as the centralized enterprise hub for rapid development and deployment of GenAI use cases across the organization. In this […]

For car manufactures, new car model releases, over-the-air software update and connected service launches create fresh customer experiences. While these innovations help enhance driving experiences, they also generate waves of car owner inquiries about vehicle features, charging capabilities, maintenance procedures, and digital services. This constant innovation cycle is essential for car manufacturers to stay competitive […]

In this blog post, we share how Rivian and Volkswagen Group Technologies (Rivian) partnered with AWS to help improve vehicle security through Rivian’s Gear Guard feature enhancement. By using Amazon Kinesis Video Streams (KVS), Rivian created a more sophisticated real-time video streaming solution that helps enable vehicle owners to have more instant access to live […]