AWS for Industries
Category: Amazon Bedrock
Cloud Adoption Update for Financial Market Infrastructure Providers 1H26
Learn how through its strategic partnership with Nasdaq and AWS, BYMA (Bolsas y Mercados Argentinos) went live on Nasdaq’s Eqlipse Clearing platform, hosted on AWS — becoming one of the first FMIs in Latin America to run core clearing and settlement workloads in the cloud.
How AWS helps Hong Kong banks deliver on HKMA DART Framework
Learn how financial institutions in Hong Kong face a defining moment in how they deliver technology-driven banking: the Hong Kong Monetary Authority (HKMA) launched Fintech 2030 on November 3, 2025, introducing the DART framework with named initiatives and clear supervisory expectations.
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.
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.
Build a Multi-Agent Assessment Workbench with Amazon Bedrock AgentCore
In most financial institutions, project document assessment is a late-stage activity. Architecture teams design digital banking services. Security teams review them weeks later. Risk teams produce assessments months after deployment decisions are locked in. By the time a Chief Risk Officer sees a risk report, the architecture is fixed, exposure is unquantified, and remediation is […]
How retailers deliver hyper-personalization in-store with Personalisation Hub, UST, and AWS
In this blog post, we explore the next wave of personalization and what it takes to close that gap—not with more screens, but with a fundamentally different operating model for physical retail. New technology brings one-to-one personalization from ecommerce into the physical store. And you can deploy it today.
Coins in Motion: Building agentic blockchain payments for in-vehicle experiences
Agentic blockchain-based payments are poised to transform in-vehicle driving experiences. As vehicles become increasingly connected and autonomous, they are evolving from passive transportation tools into active economic agents capable of conducting their own financial transactions [see HBR Article, 2021]. Imagine your car automatically paying for highway tolls, electric charging sessions, parking fees, or even purchasing […]
Reduce P&ID analysis time by 80% with hybrid AI maintenance planning
Every major industrial facility relies on thousands of highly complex technical drawings called Piping and Instrumentation Diagrams (P&IDs) that serve as the DNA of industrial operations. These diagrams show how equipment connects, materials flow, and safety systems protect workers and assets. These diagrams are complex. For example, where 511 industrial P&ID documents may mean 1,397,710 […]
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.









