AWS for Industries
Category: Automotive
MAN Truck Configurator: Journey to the AWS cloud
Modern trucks come with a variety of equipment for the buyer to choose from. The truck configurator helps the seller to configure the truck with the right capabilities according to the customer’s needs. The configuration is a critical part of the sales process. In this blog, we explain how MAN Truck & Bus SE (MAN) […]
How BMW Group and Qualcomm built an automated driving platform on AWS
In September 2023, Amazon Web Services (AWS) announced that the BMW Group has chosen AWS as the preferred cloud provider for BMW’s next-generation automated driving platform (ADAS platform). The BMW Group will develop its next-generation advanced driver assistance system (ADAS) using AWS to help innovate new features for its next generation of vehicles, the “Neue […]
Revamping procurement operations with generative AI–powered Offer Analyst solution on AWS
This blog post explores the transformative impact that advanced generative AI can have on procurement operations. Through an engagement with Boston Consulting Group (BCG) and Amazon Web Services (AWS) Professional Services BMW Group has successfully implemented and released its internal tool called Offer Analyst, a groundbreaking generative AI solution that empowers procurement specialists (e.g. purchasers) […]
Accelerate Connected Vehicle Development with Connected Mobility Solution on AWS and MongoDB Atlas
The Connected Mobility Solution on AWS (CMS on AWS) establishes the foundational components of a well-architected connected vehicle program for automotive companies. Automotive companies already using AWS can enable MongoDB Atlas from the AWS Marketplace and help accelerate their connected vehicle application development. MongoDB Atlas was launched on AWS in 2016 and is now available […]
How Toyota migrated Its Safety Connect telematics services platform with virtually zero downtime to AWS
Toyota has made “connected cars” a key focus in its transition from an automotive company to a mobility company. In collaboration with its software and cloud services affiliate, Toyota Connected North America, it has developed an array of innovative technologies that help enhance customer safety and the overall vehicle ownership experience. One of these, Toyota […]
Building a Charging Station Management System with AWS
One of the main actors within the EV charging industry are Charging Point Operators (CPOs). CPOs are responsible for managing charging infrastructure availability and associated operational costs. According to the International Energy Agency (IEA), the global number of installed public charging points was up 40% in 2023 relative to 2022, and growth for fast chargers […]
Paving the fast lane to race car optimization with insights from Sibros Deep Logger and Amazon SageMaker
Auto-racing teams continue to push the boundaries of track day performances for both vehicles and drivers. The combination of cross-functional teams involved in driver success goes beyond what is shown during the race event and extends to deep collaborations with automakers. Automakers are engaged in constant feedback loops to optimize the performance of their cars […]
Accelerate Model-Based development with BTC EmbeddedPlatform on AWS
Introduction Automotive developers use Model-Based Development (MBD) tools to create software using visual models, then generate and execute tests to verify the software against functional, safety and other kinds of requirements. Testing is time-consuming, and developers need to execute a growing number of tests depending on the features developed. This blog will cover how AWS […]
Application Deployment Strategies on Amazon Web Services in China
Background Since 2008, the automotive industry in mainland China has been the world’s largest in terms of automobile unit production. Following the economic reforms of the 1980s, most global automakers operate in China through joint ventures. These global automakers, using cloud services like Amazon Web Services (AWS) outside of China, face the challenge of developing […]
How to expansively train Robot Learning by Customers on AWS using functions generated by Large Language Models
In the robotics industry, Reinforcement Learning (RL) is extensively utilized to address complex problems that traditional path planning algorithms cannot manage, especially those involving intricate manipulations. The reward function in RL is a critical component that establishes the objective and directs the agent’s learning process. Crafting an effective reward function is often challenging but essential […]









