Estudos de caso da indústria automotiva

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.

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

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

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).

Learn how HERE Technologies, a location intelligence technology company, increased sustainability and performance using AWS Graviton–based instances.

Learn how electric vehicle charging company Wallbox migrated its connectivity infrastructure to AWS IoT Core.

In this AWS re:Invent 2023 keynote video, Stephan Durach, senior vice president Connected Company Development and Technical Operations, at BMW Group, discusses how the company uses Amazon Web Services (AWS) technology to transform automotive experiences.

Learn how Mobileye, a leader in autonomous-driving and driver-assist technologies, transformed its backend into a flexible, dynamic stack using Amazon EKS.

Learn how automotive company Reezocar is estimating vehicle repairs swiftly and accurately using AWS HPC and ML infrastructure powered by NVIDIA.

Digital infographic hosted on the AWS website, showcasing the Continetntal AG story, with a focus on their cloud enablement, people transformation, and global innovation challenge.

TTMI built a fleet management solution entirely on AWS to deploy quickly at scale and helps its customers lower carbon emissions, vehicle issues, and operations costs.

WirelessCar virtually removed cold starts and improved the performance of its connected mobility services at no extra cost by embracing AWS Lambda SnapStart for Java.

Using Amazon Kinesis Data Streams and Apache Druid, TrueCar has thus far improved time to insight for clickstream analytics, automated its ETL process, and improved customer personalization.

In this AWS re:Invent 2022 video, Marco Görgmaier, general manager “Data transformation & Artificial intelligence” at BMW Group, discusses how the company uses Amazon SageMaker geospatial capabilities to deliver sustainable mobility solutions around the globe.