AWS for Industries

Category: Automotive

Automating incident resolution with a multi-agent self-healing SRE solution on AWS

Large enterprises across the world are looking to minimize effort, time, and cost for Site Reliability Engineering (SRE) and operations for their huge workloads, so they can channel resources towards innovation and productivity instead. At Daimler Truck, one of the largest commercial automotive manufacturers of the world, the IT Aftersales team worked with AWS Partner […]

Building AI-augmented B-pillar DFMEA on AWS: Architecture, multi-agent orchestration, and implementation

Building AI-augmented B-pillar DFMEA on AWS: Architecture, multi-agent orchestration, and implementation

In this post, we deliver the implementation blueprint. We walk through the complete reference architecture built on Amazon Web Services (AWS), break down the layer service topology, detail the multi-agent orchestration pattern using Amazon Bedrock AgentCore and the Strands Agents SDK.

Hyundai AutoEver: Building a multi-tenant generative AI sandbox and production AIOps on Amazon Bedrock

Hyundai AutoEver: Building a multi-tenant generative AI sandbox and production AIOps on Amazon Bedrock

This post is a technical deep dive. It explains the Sandbox’s multi-tenant isolation model along with its inherited security and cost controls. It then examines two production-grade multi-agent AIOps systems our teams built on top of it, including the LangGraph (an open source multi-agent orchestration framework) state model, Retrieval-Augmented Generation (RAG) design, OpenSearch query patterns, parallel root cause analysis (RCA) with self-falsification, and the human-in-the-loop safeguards that help make agentic recovery safe in production. Code samples are illustrative and simplified for readability.

Engineering Development Hub: A unified workbench to accelerate product development

Engineering Development Hub: A unified workbench to accelerate product development

Learn more about Engineering Development Hub (EDH), a unified, cloud-based engineering workbench that brings together the applications, compute, and data you need to design, test, and validate complex systems—all in a single, open source environment.

AUMOVIO improves quality of automotive software at scale using multi-agent AI on Amazon Bedrock

AUMOVIO improves quality of automotive software at scale using multi-agent AI on Amazon Bedrock

In a previous blog post, we described how AUMOVIO built an AI-powered engineering assistant on Amazon Bedrock that generates automotive-grade embedded code. That system accelerates development

Build a voice-enabled Automotive and Manufacturing assistant using Amazon Nova Sonic and Amazon Bedrock AgentCore

Build a voice-enabled Automotive and Manufacturing assistant using Amazon Nova Sonic and Amazon Bedrock AgentCore

In this post, we show you how Amazon Nova Sonic, Amazon Bedrock AgentCore, and Strands Agents come together in VEMA (Voice-Enabled Manufacturing Assistant)—an AI-powered voice assistant that lets workers speak naturally to get instant answers, hands-free, in English or Spanish, without ever leaving their workstation.

How Autel Transformed Charging Station Management with AI Agents on AWS

How Autel Transformed Charging Station Management with AI Agents on AWS

This post shows how Autel used AWS cloud services and AI technologies to build an AI digital employee system that streamlines charging station operations. We explore the five specialized AI agents we created, the technical architecture powering them, and how these intelligent employees enable CPOs to manage their charging networks more efficiently with conversational interfaces rather than complex manual processes.

Accelerate RISC-V Software Development Before Silicon: Virtual Prototyping with MachineWare’s SIM-V on AWS

Software engineering teams building for RISC-V architectures often wait months for hardware prototypes before they can start development and evaluations. This post shows how MachineWare’s SIM-V — an ultra-fast RISC-V Virtual Platform — runs on Amazon Web Services, Inc. (AWS), so software teams can develop, debug, and validate RISC-V software long before silicon is available. […]