Automotive Industry Case Studies

Honda is committed to achieving carbon neutrality by 2050 through widespread EV adoption. Working with AWS, it created a streamlined charging experience that simplifies payment processing and personalizes recommendations for EV users to make charging more convenient and enjoyable. The solution uses AWS IoT Core to collect data from vehicles and charging stations and Amazon Bedrock to personalize recommendations based on driver preferences. AWS is helping Honda to deliver a seamless and fun EV experience, while accelerating development speed and innovation.

Using Amazon SageMaker, CarGurus powers their machine learning models and predictive insights while democratizing data science capabilities across their engineering organization, enabling both experienced data scientists and engineers to contribute to their AI-driven solutions.

Rivian's Lead Software Engineer, Narendra Nath Challa, highlights how the impact of Mountpoint for Amazon S3 transformed their autonomous driving development.

For training its computer vision algorithms, Continental reduced the time needed for developers to search through petabytes of image data from hours to minutes. Continental is an automotive industry leader in autonomous mobility and assisted-driving functions. By using generative AI on AWS, Continental is driving innovation faster than ever.

By leveraging SageMaker Unified Studio, Toyota Motor North America seeks to embed data-driven insights across manufacturing, sales, supply chain, and customer experience domains. The ultimate goal is to create a dynamic, governed data ecosystem that empowers decision-making and drives organizational innovation.

Toyota Motor North America is redefining efficiency in its software development processes. It has implemented Amazon Q Developer and is harnessing AI to streamline its coding processes. For instance, it has been able to save 1500 hours of manual documentation by leveraging Q Developer's unique AI agents. Furthermore, the company has also tapped into Amazon Q Developer's transformation capabilities to upgrade its Mainframe codebases cost-effectively.

Learn how Volkswagen Group of America leveraged Amazon Q Business to map 4,000 unique job descriptions to 3,200 job roles in their global template system, efficiently finishing the project within timelines and creating an Amazon Q app to draft a solution in just one day.

Automotive parts manufacturer Brembo implemented AWS IoT FleetWise to streamline its data collection and processing pipeline and accelerate digital product development with one complete solution.

BMW migrated its on-premises databases to Amazon Aurora PostgreSQL and used Amazon Aurora Serverless v2, which increased scalability and reduced costs for its customer messaging solution.

In September 2024, Sony Honda Mobility and Amazon Web Services hosted an AFEELA prototype exhibition event at the Day 1 Playfield at Amazon's Seattle headquarters. We provided an opportunity for Amazon/AWS employees and local residents to experience AFEELA firsthand through prototype exhibitions and technology demonstrations.

Learn how AUDI improved its application’s reliability, scalability, and cost efficiency using Karpenter.

BMW Group and Amazon Web Services (AWS) collaborated on a groundbreaking In-Console Cloud Assistant (ICCA) solution designed to empower hundreds of BMW DevOps teams to streamline their infrastructure optimization efforts. The ICCA solution harnesses the power of generative artificial intelligence (GenAI) on AWS to provide real-time insights and recommendations that help accelerate the identification and resolution of performance bottlenecks, resource optimization opportunities, cost-saving measures and more.

Learn how Mercedes-Benz Consulting in the automotive industry created an AI Q&A system using Amazon SageMaker.

Generative AI supports the creation, at scale, of complex, realistic driving scenarios that can be directed to specific locations and environments.

Learn how Vitesco Technologies modernized its engineering workflows by building a complete cloud environment in under 18 months using AWS.

Audi, and Reply worked with Amazon Web Services (AWS) on a project to help improve their enterprise search experience through a Generative AI chatbot. The solution is based on a technique named Retrieval Augmented Generation (RAG), which uses AWS services such as Amazon SageMaker and Amazon OpenSearch Service.

Toyota Connected leverages AWS to process real-time data from millions of vehicles, enabling rapid response to driver emergencies. AWS services like Amazon Bedrock allow creative solutions, processing petabytes of sensor data for safety and new AI-driven experiences. Toyota's CTO highlights AWS's vital role in data-driven mobility, faster call centers, and increased customer safety.

Learn how Visteon is helping automakers meet driver expectations for cockpit functionality with solutions built using AWS and AWS IoT services.

BMW built its Cloud Data Hub on AWS to handle growing volumes of data from more than 20 million connected vehicles worldwide that generate billions of requests a day. Talking with Mindy Ferguson, vice president of AWS messaging and streaming, Dr. Laurent-Winter takes us on the journey so far—and the new innovation projects such as using Amazon Bedrock and generative artificial intelligence (AI) to increase development efficiency and create new digital products fast.

Learn how TOYOTA GAZOO Racing Europe is optimizing its HPC simulation workloads using HPC on AWS.

From one of the most recognized tire brands in the world to a connected mobility pioneer, Continental has seen success from 1871 to today thanks to its constant evolution. Using Amazon Web Services (AWS), the company has embraced the cloud and accelerated a software-driven vision. It built modular solution Continental Automotive Edge (CAEdge), which connects vehicles to the cloud and provides a virtual workbench to speed development from weeks to hours. And, by embarking on an organization-wide upskilling program and engaging with AWS Skills Guild, thousands of employees have generated more than 100 innovative business proposals. For Continental, investing in cloud capabilities means investing in its future as a key provider of intelligent connectivity for the automotive industry.

Luxury Italian auto manufacturer Ferrari S.p.A. (Ferrari) has forged a globally recognized legacy that’s rooted in tradition and innovation over many decades. To continue to deliver the best possible experiences to customers and dealers, Ferrari has tapped into the power of generative artificial intelligence (AI) by turning to Amazon Web Services (AWS).

Data and safety go hand in hand at leading automotive manufacturer Toyota. As Brian Kursar, senior vice president and chief technology officer at Toyota Connected North America, says, having access to the right data at the right time is vital. Toyota Connected is Toyota’s data services division, leading the development of the company’s cloud-based mobility services platform.

This case study highlights how BMW, the renowned automotive manufacturer, leveraged generative AI powered by AWS to enhance their design and engineering processes.