Category: Automotive

We are pleased to announce the release of the BlackBerry QNX on AWS workshop to help AWS customers easily get started with embedded software development on AWS Cloud. This workshop provides a hands-on lab experience to help AWS customers quickly grasp embedded software development with QNX® OS on AWS. In January 2023, BlackBerry Limited announced […]

Introduction This blog post walks you through the synergies between the Amazon Working Backwards mechanism and User Experience (UX) design that we used to accelerate the adoption of Software developers, Software integrators and Software testers using the Virtual Engineering Workbench (VEW) through improving their onboarding experience. VEW is a cloud-based development environment allowing its users […]

The rapid advancement of autonomous driving technology is transforming the automotive industry, leading to improved safety, efficiency, and convenience. As self-driving vehicles evolve, automakers must address several challenges to ensure their widespread adoption. Among these challenges, reliable, secure, and low-latency communication between vehicles and teleoperation centers is critical for real-time responsiveness and decision-making in complex […]

There is a current automotive industry paradigm shift that is requiring Original Equipment Manufacturers (OEMs) to accelerate their in-vehicle software delivery utilizing newer approaches and solutions such as cloud-based workflows and automotive operating systems (OS). Customer demand highlights the need for vehicles to be more connected, autonomous, shared, and electric (CASE). A McKinsey report says […]

Generative AI for Automotive to Empower Software Defined Vehicles and Autonomous Mobility The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of scalable compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across the automotive and manufacturing industries are transforming […]

This blog focuses on a potential method to use Long Short Term Memory (LSTM) machine learning models to help customers predict parts that are likely to become defects or recalls. Specifically, we show how predictions generated from an LSTM may provide customers with early indicators that generally out-perform existing manual processes and can help assist […]

Over the past two decades, the value of software in vehicles has risen dramatically. Software in vehicles we drive has usually been embedded into proprietary hardware. Updating and improving such software was usually done by bringing the vehicle in for service, and then updating the firmware with legacy and proprietary systems. In a software defined […]

In the first blog – Digital Twin Data Middleware with AWS and MongoDB – we discussed the business implications of the digital twin challenge and how MongoDB and AWS are well positioned to solve them. In this blog, we’ll dive into technical aspects of solving the digital twin challenge. That is, showing you how MongoDB […]

To personalize the customer experience, BMW Group uses data to power artificial intelligence (AI) and machine learning (ML) solutions from Amazon Web Services (AWS). All workflows must comply with stringent data privacy laws that vary among the 140 countries where BMW operates. BMW Group’s solution After obtaining permission from vehicle owners, BMW Group ingests data […]

Visit our booth The world’s largest industrial conference, Hannover Messe begins on April 17th, 2023 in Hannover Germany. Once again, look for Amazon Web Services to have a large presence at the event, but in a different location than previous years, in Hall 15 booth D74 right by the main entryway. To get your free […]