AWS for Industries
Category: Automotive
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 […]
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
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
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
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
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 […]
AWS Professional Services and BMW collaborate to optimize petabyte-scale storage costs for automated driving data
As automated driving platforms evolve, they continue to generate unprecedented volumes of data from various sensors, simulations, and testing environments. A single automated driving test vehicle can produce tens of terabytes of data daily, which means that organizations managing entire fleets require petabyte-scale storage. The rapid growth in data, combined with the need to retain […]
How Sibros, Panasonic Automotive, and AWS Collaborate to Reduce Connected Services Integration Challenges During Vehicle Development
Vehicle connectivity is an important set of core technologies employed by many automakers. With connected vehicles, automakers can continue to add value to a vehicle after purchase, which can enhance customer satisfaction and brand appeal. It also allows consumers to consider feature availability separately from the latest model year when making purchasing decisions. However, there […]
How BMW Group Enhances Cloud Optimization With Generative AI 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 at the forefront of integrating Generative AI (GenAI) technology. Its GenAI applications already streamline daily processes and boost the productivity of thousands of employees. The […]








