AWS for Industries

Category: Automotive

BMW Group unlocks insights from petabytes of data with agentic search on AWS

BMW Group unlocks insights from petabytes of data with agentic search on AWS

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 […]

AUMOVIO Boosts Software Development with an Agentic Coding Assistant Powered by Amazon Bedrock

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 […]

Accelerate Automotive UI Development with Kiro, Squish, and Virtual Targets on AWS

Accelerate Automotive UI Development with Kiro, Squish, and Virtual Targets on AWS

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 reInvent 2025 Recap for Automotive and Manufacturing

AWS re:Invent 2025 Recap for Automotive and Manufacturing

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 […]

Feature Development Funnel describing how a use case-specific capability becomes a shared platform capability along five steps.

How to Build an Enterprise-Scale GenAI Gateway

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 […]

How smart Europe Revolutionized Automotive Customer Support with Amazon Bedrock

How smart Europe Revolutionized Automotive Customer Support with Amazon Bedrock

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 […]

How Rivian and Volkswagen Technology Group Built Real-Time Vehicle Security with Amazon Kinesis Video Streams

How Rivian and Volkswagen Technology Group Built Real-Time Vehicle Security with Amazon Kinesis Video Streams

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 […]

Accelerating HiL Testing for AV/ADAS with a Hybrid Cloud Approach – AWS and NetApp

Accelerating HiL Testing for AV/ADAS with a Hybrid Cloud Approach – AWS and NetApp

Developing autonomous driving (AV) and advanced driver assistance systems (ADAS) requires automotive OEMs and Tier 1 suppliers to collect petabytes of real-world driving data. This data is typically uploaded by OEMs or Tier 1 suppliers to cloud providers such as AWS, where it is analyzed, used to train AI models, and used for Software in […]

Managing Sustainability Data for Digital Product Passports with Agentic AI

Digital Product Passports (DPPs) are set to transform the landscape of product transparency, regulatory compliance, and supply chain sustainability—yet organizations face challenges integrating data, verifying information, and adapting to evolving rules. In this post, we explore how we see AWS customers address the topic of DPPs and the role agentic AI plays in automating and […]

Securing the future: How AI Agents, Web3, and post-quantum cryptography are helping redefine digital trust

Securing the future: How AI Agents, Web3, and post-quantum cryptography are helping redefine digital trust

Introduction As digital identity, artificial intelligence (AI) agents, Web3, and cybersecurity technologies converge, a new paradigm for digital trust is emerging, one in which security, transparency, and innovation reinforce one another. This blog post explores how leading organizations are navigating that convergence, highlighting 1) recent advancements in Web3-based security, 2) real-world AWS use cases that […]