AWS for Industries
Category: Amazon Simple Storage Service (S3)
GreenBridge.AI redefines renewable energy operations with agentic AI on AWS
Renewable energy operators face a growing challenge: Managing increasingly large, complex, high-value portfolios across solar, wind, and battery energy storage system (BESS) while meeting tighter compliance, grid, and market demands. Many operational workflows remain reactive, manual, and fragmented—limiting both performance and scalability. However, GreenBridge.AI is innovating renewable energy operations through AI agents for greater automated efficiency and scalability.
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.
Scaling ML in production: how BBVA accelerated delivery with MLOps
This post describes how BBVA used pilots to identify reusable ML patterns, standardize operational workflows, and design extensible MLOps templates that accelerate ML delivery while maintaining governance and flexibility across teams and business domains.
Deploy diagnostic-quality imaging globally with MedDream and AWS HealthImaging
Learn how by combining MedDream’s FDA-cleared diagnostic viewer with AWS HealthImaging and automated AWS Cloud Development Kit (AWS CDK) deployment, you can deploy a complete, production-ready medical imaging solution in under an hour—achieving sub-second loading times and reducing storage costs by up to 40% compared to on-premises infrastructure.
Edge-to-Cloud Architecture for Real-Time Surgical Intelligence with AWS and NVIDIA
Learn how to architect an end-to-end pipeline that processes surgical video at the edge for de-identification, instrument detection, and surgical phase recognition—while using the cloud for model training and fleet management.
Building a HIPAA-ready generative AI architecture for healthcare on AWS
In this post, we describe a comprehensive, HIPAA-ready generative AI architecture for healthcare on Amazon Web Services (AWS) using a defense-in-depth approach. By layering compliance controls at multiple distinct levels, this architecture creates a system where no single point of failure compromises patient data protection, and each component that touches ePHI is independently auditable.
Build an AI-powered 5G Signaling Trace Analyzer Using Amazon Bedrock
Telecom engineers routinely analyze decoded signaling traces to troubleshoot network issues, validate procedure execution, and accelerate root cause analysis. In 5G networks, even a single registration attempt can span multiple layers such as NAS and NGAP. The registration attempt includes security context establishment and carries identifiers such as Subscription Concealed Identifier (SUCI), Globally Unique Temporary […]
Building a cloud-based EV charging monitoring platform with real-time AI analytics
In this post, we share how Iberdrola-BP Pulse in conjunction with GaleoTech, a systems integrator specialized in Internet of Things (IoT) for the energy sector, built EVBrain—a cloud-based platform on AWS that enables real-time monitoring, proactive incident detection, and AI-powered analytics for EV charging infrastructure across Spain.
How to Connect AWS HealthOmics to Public and Private Network Sources at Runtime
In this post you will discover the benefits and use cases for VPC connected workflows, the steps to configure a VPC endpoint, practical walkthroughs for common scenarios, and how VPC security controls apply to workflow traffic.
How Carlsberg’s Traitomic business leveraged AWS HealthOmics to power genetic trait development
This blog explains how Traitomic partnered with AWS to power genetic trait development by overcoming common challenges with sequencing workflows.









