Category: Automotive

This blog will cover how PQD enables the transformation of after-sales vehicle quality from a reactive to a proactive, data-driven approach enabled by connected vehicle data, software-defined architectures, and AI/ML services from AWS.

In this blog post, we’ll explain why BMW Group chose Amazon Web Services, Inc. (“AWS”) as its cloud provider to deliver this user experience and dive deep into how the team solved the technical challenges along the way.

Autonomous Vehicles (AV) development has been maturing and is advancing through clear architectural changes: AV 1.0: classical modular stacks (perception → prediction → planning → control) with hand-engineered interfaces AV 2.0: multi-modal LLM end-to-end (E2E) learned stacks that reduce modularity and improve scaling with data AV 3.0: end-to-end reasoning VLA (Vision–Language–Action) systems that perceive, reason, […]

Every day, autonomous vehicle (AV) fleets generate terabytes of sensor data—but the rarest, most safety-critical moments often go undetected. Autonomous vehicle manufacturers and Tier 1 suppliers face a specific challenge: identifying which driving scenarios their vehicles encounter and deciding which edge cases require safety validation. As fleets grow, organizations cannot scale manual review to find these rare […]

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 […]