AWS for Industries
Category: Database
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.
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
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.
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 […]
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
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:
Modernizing Core Banking Systems: A Strategic Guide for Financial Leaders
Learn how AI has changed the economics of core banking modernization. Services like AWS Transform for mainframe and development tools such as Kiro now enable banks to compress multi-year migration programs into months , reducing the manual effort necessary, project risk, and overall transformation costs associated with modernizing the mainframe platform.
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.
Building a Serverless Supply Chain Management Solution for Automotive Customers with AWS AppSync and Amazon Aurora Serverless
In this blog post, we demonstrate how to build a serverless supply chain management solution tailored for automotive customers using AWS AppSync (a managed GraphQL service) and Amazon Aurora Serverless (an on-demand, auto-scaling relational database). This solution addresses common challenges in managing parts inventory, orders, and shipments by using a fully serverless, GraphQL-based approach.









