Category: Automotive

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) […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

As automakers strive to enhance the in-cabin user experience, automotive development teams are tasked with delivering more features and integrations than ever before while balancing trade-offs between complexity and maintenance. Supercharging development for an automotive e-cockpit on Amazon Web Services (AWS) helps development teams to accelerate software output while achieving bit parity. With the advent […]

AWS for Automotive offers Software-Defined Vehicle (SDV) solutions, helping to address the needs of the automotive industry to handle increasing software complexity, improve cost control, and enhance product quality. AWS is innovating on SDV solutions that include the ability to deploy virtualized automotive hardware and software stacks on AWS. This includes building and deploying Google’s […]