AWS for Industries

Category: AWS Identity and Access Management (IAM)

GreenBridge.AI redefines renewable energy operations with agentic AI on AWS

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

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.

Inside BBVA’s MLOps transformation: from data platform to scalable ML on AWS

Inside BBVA’s MLOps transformation: from data platform to scalable ML on AWS

Learn how BBVA leverages AWS technologies that provide the technical foundation while supporting the bank’s high standards for governance, risk management and auditability.

Deploy diagnostic-quality imaging globally with MedDream and AWS HealthImaging

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.

Build an AI-powered 5G Signaling Trace Analyzer Using Amazon Bedrock

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

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.

The Art of the Possible: Building an Intelligent Wealth Management Platform – Part 1

The Art of the Possible: Building an Intelligent Wealth Management Platform – Part 1

This is the first post in a two-part series exploring how AWS-native services, including Amazon Bedrock AgentCore, Amazon Neptune Analytics, Strands Agents, and a serverless data pipeline, power three transformative advisor capabilities:

Centralized third-party connectivity in AWS: Architecture patterns for highly regulated environments

Centralized third-party connectivity in AWS: Architecture patterns for highly regulated environments

This post provides architectural guidance only and does not constitute legal or compliance advice. Consult your compliance and legal teams for your specific regulatory obligations.

How Amazon Connect Health brings agentic AI to the point of care

How Amazon Connect Health brings agentic AI to the point of care

In this post, we show how EHR companies, healthcare independent software vendors (ISVs), and tech-enabled provider organizations can use Amazon Connect Health to embed these capabilities into their existing workflows using a single, unified Software Development Kit (SDK).

Migrating Enterprise ML Workloads to AWS for large scale ML

Migrating Enterprise ML Workloads to AWS for large scale ML

Machine learning (ML) models operate directly in the critical path of ad delivery, influencing bidding, pricing, and campaign optimization under strict latency, reliability, and correctness requirements. These models are trained frequently on large volumes of historical auction data and produce deterministic artifacts that downstream serving systems rely on for consistent behavior in production. Historically, Kargo, […]