Automotive Industry Case Studies

German automotive technology startup KEYOU deployed a fast, scalable, cloud-based computational fluid dynamics simulation tool that can support hundreds of cores and deliver results in 1 day on AWS.

Otonomo, a marketplace for vehicle data, used CMS on AWS to build a vehicle data solution that connects with its patented technology to improve customers’ access to data and valuable business insights.

The Volkswagen Group reduces label defects during vehicle production by using an intelligent Sign Inspection (iSI) solution built on AWS. During vehicle production, workers must apply 25 different labels that contain country-specific safety, usability, and specification data to comply with various regulations. Using Volkswagen's Digital Production Platform, powered by AWS IoT and machine learning services, Porsche implemented an automated solution to detect label errors and notify in-line workers. Now Volkswagen has a modular, scalable iSI solution that it can implement at its automotive plants worldwide.

Electric vehicle manufacturer Rivian is innovating quickly and performing powerful simulations in the cloud, using the speed and scalability of AWS to reduce the need for expensive physical prototypes. The automotive technology company was limited by the low availability of its previous on-premises compute infrastructure. Rivian migrated to a new stack and used a broad range of AWS services. Using Amazon EC2 C5n Instances, Rivian’s software is up to 66 percent faster. The company’s engineers can now focus less on managing the technology and more on innovation.

Audi Business Innovation GmbH rolled out an ecommerce solution for online car sales in just 6 weeks, enabled scaling on demand, and saved 70 percent in costs by using AWS Lambda to create a serverless architecture.

Honda, a leading manufacturer of motorcycles, automobiles, and power products, engaged AWS Professional Services and used AWS CloudFormation to quickly launch a new serverless connected car platform.

Automotive visualization specialist ZeroLight used Amazon EC2 G4 Instances for its 3D sales and marketing platform and facilitated the virtual launch of Lucid Motors' debut luxury electric car.

Volkswagen Passenger Cars uses NICE DCV to reliably stream remote applications to 1,000 engineers, provide near-real-time responsiveness, and enhance security.

Volvo migrated to the AWS Cloud in 2015 with the goal of driving faster time to market and scalability. Since 2015, most of Volvo’s services are built on AWS, and the AWS Cloud is the foundation for Volvo Group to deliver connected services to more than 800,000 trucks, buses, and machines.

Using AWS services, Toyota Connected built a resilient, scalable, and cost-optimized mobility services platform that uses data insights to improve safety and convenience and increase mobility for its individual and fleet customers.

Using Amazon Athena, Amazon EMR, and other AWS services, tech-driven insurance company Aioi Nissay Dowa developed the means to process vast amounts of vehicle data and incentivize safer driving.

Learn how LeasePlan architected a serverless solution to combine telematic and Open Street Map data into meaningful dashboards and reports enabling quick decisions based on vehicle event diagnostics. The solution uses Amazon Athena, AWS Glue, Amazon Kinesis Analytics, AWS Lambda, Amazon S3, and Amazon SQS to deliver a data driven, event focused fleet management solution tied to better decision making and increased driver safety.

In this session, we will explore the BMW Cloud Data Hub, and how BMW and AWS have teamed up to accelerate data driven innovation enterprise-wide. We'll then switch gears to discuss the AWS Autonomous Driving Data Lake reference architecture to learn how customers manage the challenge of ingesting, transforming, labeling, and cataloging massive amounts of data to develop automated driving systems by using Amazon EMR, Amazon S3 and Amazon SageMaker Ground Truth, among others.

Orix Auto Infrastructure Services (OAIS) migrated to AWS to improve uptime and performance and built a robust disaster recovery site in the AWS Cloud in just six months. OAIS provides B2B automobile leasing and rental for companies in India. It uses Amazon CloudEndure for data migration, Amazon Inspector for infrastructure monitoring, and AWS WAF to enhance security.

Intelematics provides telematics and connected vehicle services in Australia and New Zealand. To achieve greater speed to market, flexibility, and scalability for its data-driven products and services, Intelematics migrated to the AWS Cloud with the support of Mantalus, an Amazon Web Services (AWS) partner.

BMW Group uses AWS to process 10 TB of data daily from 1.2 million vehicles, create a voice-activated personal in-vehicle assistant, and derive real-time insights from vehicle and customer telemetry data. The organization, based in Germany, is a leading manufacturer of premium automobiles and motorcycles. BMW Group runs its Cloud Data Hub on AWS, using Amazon SageMaker to train models for predictive analysis.

To better support its growth around the world, Momenta decided to migrate to Amazon EKS. Learn how Momenta migrated to Amazon EKS in two months and optimized workload performance while achieving significant cost savings for compute.

Tomas Carfalk, Chief Architect & CTO WirelessCar discusses, how WirelessCars congestion charge service powered by AWS accelerates digital business models for car manufacturers by enriching vehicle journey data.

TRD used AWS services to build a centralized repository for data needed to make key race-time decisions, giving the company a technological edge over competitors.

Berlin-based TIER is pushing computing to the edge of the network, using AWS IoT Greengrass to create a battery-swapping system that could reduce operational costs by a factor of 10.

WeRide is an intelligent travel company driven by artificial intelligence and centered on driverless technology, aiming to build a Level 4 fully autonomous driving system for the Chinese market. WeRide reduced its autonomous driving machine learning model training time from 1-2 weeks to 12 hours using AWS.

Car-buying resource website Edmunds.com uses AWS Fargate Spot to cut compute costs by $100,000 in less than a year, push availability to 99.999 percent, and reduce staff workload.

Momenta is positioned to build an autonomous driving brain. Its core technology is deep learning-based environment perception, high-precision maps, and driving decision-making algorithms. Momenta builds on AWS to quickly prototype autonomous driving solutions, improve developer efficiency, and reduce operational costs.

Rideshare company Lyft significantly increased its AV simulation testing while reducing the corresponding computing costs by two-thirds with Amazon EC2 Spot Instances and Amazon EKS.