Automotive Industry Case Studies

Zane Reynolds, the manager of the data engineering team at Torc Robotics, discusses why Torc Robotics moved away from a traditional data architecture on premises to modern data lakes in the cloud with Amazon S3.

Commercial vehicle manufacturer MAN Truck & Bus used features of Amazon EC2 to build a payment processing system that speeds up transactions in and around vehicles and helps optimize fleet management.

Learn how PayByPhone in mobile payments enhanced the customer experience using AWS Fargate.

Reinventing the development of connected vehicles while reducing costs up to 80%.

This case study delves into how BMW showcased their use of generative AI, powered by AWS, at the AWS Reinvent 2023 conference.

The Rane Group is an Indian industrial conglomerate that manages 10 automotive manufacturing companies across the country. To increase scalability and improve performance, the organization implemented SAP S/4HANA on AWS.

Toyota Tsusho Indonesia is part of the Japanese corporation Toyota Group and works across a broad range of sectors, including metals, energy, and global parts and logistics. To modernize its applications and reduce overall costs and maintenance, Toyota Tsusho Indonesia migrated to the AWS Cloud.

VicOne, a subsidiary of cloud and enterprise cybersecurity company Trend Micro, is driving the adoption of cybersecurity systems across the automotive industry with its xNexus platform, an extended detection and response solution. Leveraging AWS IoT FleetWise, the platform rapidly integrates vehicle data into Amazon Timestream databases, while VicOne's Kubernetes-based applications, managed by Amazon EKS, handles analysis and detection. This streamlined process speeds up data integration, cuts proof-of-concept time by up to 50 percent, and reduces costs.

By migrating its servers to AWS, transportation company Scania increased its load capacity, which was previously restrained by on-premises servers, in addition to increasing its flexibility and security.

Virta, an electric mobility company in Finland, uses AWS to expand its global network of EV charging stations, helping over 1,000 EV charging businesses grow fast and operate sustainably.

Learn how AL-KO in the gardening equipment industry connected its gardening devices to the cloud using AWS IoT Core.

TMNA built the internal development platform Chofer using Backstage and AWS to simplify application development, reduce costs, and help its teams securely deploy new applications faster than before.

Mobileye used Amazon EC2 DL1 Instances to improve the speed and scalability of its machine learning models as part of a solution that handles more than 250 production workloads daily.

Mobileye worked alongside the AWS team to develop a proof of concept and could scale to 250,000 virtual CPUs on a single Apache Spark cluster.

Italian race car manufacturer Dallara built a computing engine for simulations in less than 5 months using HPC on AWS, tripling the compute capacity it had on premises and meeting customer demand.

ŠKODA’s MAGIC EYE compute vision and predictive maintenance solution uses AWS services to transform production processes from reactive to proactive, reducing costly downtime.

WirelessCar is connecting millions of vehicles to the cloud using AWS IoT Core, increasing speed to market and reducing manual labor with fully managed services.

Mobileye provides camera based driving assistance solution and data services, based on data collected from 70 million vehicles, driving all over the world. In this episode of This is My Architecture, Ido from Mobileye will walk us through their data collection and analytics system, the evolution of it and how they provide important insights to their customers, based on this data.

Honda optimized costs and improved performance by migrating its CDN to AWS while maintaining the performance, reliability, availability, and scalability it requires for its websites.

By going serverless on AWS, Green Flag has achieved the agility and scalability it needs to handle unforeseen fluctuations in demand and quickly respond to drivers who need assistance at any time and at any location in Europe.

After migrating its SAP infrastructure to AWS, the company additionally reduced and compressed its database by using Amazon Elastic Compute Cloud (Amazon EC2), a web service that provides secure, resizable compute capacity in the cloud. Nissan in Europe achieved 63 percent faster processing times and reduced database recovery times significantly using snapshots from Amazon Elastic Block Store (Amazon EBS), an easy-to-use, scalable, high-performance block storage service designed for Amazon EC2.

Toyota manufactures and distributes cars worldwide that are meticulously logged in vehicle data warehouses and data marts to provide insights on service checks and sales reports. Toyota migrated and modernized its on-premises vehicle data warehouse and data marts by leveraging a Lake House architecture on AWS. Data is securely migrated from the source systems on-premises to AWS using AWS Direct Connect and ingested in data integration tools running on Amazon EC2 such as Kafka, Talend, and Databricks. Data is pushed into different layers for transformation with Amazon S3, AWS Glue, and Amazon RDS. To obtain read-optimized data, data is ingested into Amazon Redshift. Amazon Redshift Spectrum and Amazon Athena are leveraged by Toyota's Data Scientists, Analysts, and Business user teams to produce self-service reports. With this Lake House architecture, Toyota has improved their time to market and eliminated the duplication of data.

BMW group uses Amazon Translate for machine translation of technical and customer facing documents to support its global operations

Using Amazon Web Services (AWS), in 6 months Continental built a modular hardware and software solution called Continental Automotive Edge (CAEdge) and delivered a pilot project. CAEdge connects vehicles to the cloud and features a virtual workbench that offers developers the ability to build and maintain software-intensive functions