AWS for Industries
Category: Uncategorized
Modernize Siemens Teamcenter Infrastructure with Certified Amazon RDS
In the modern manufacturing environment, Product Lifecycle Management (PLM) systems have become essential for competitive advantage. By establishing a single source of truth for product data from initial design through manufacturing, service, and end-of-life, PLM enables manufacturers to make faster decisions, reduce errors, and bring products to market more quickly. For manufacturers using Siemens Teamcenter […]
Best Practices for Securing AWS Payment Cryptography Deployments
In this post, we explore the security layers you can apply to protect your AWS Payment Cryptography deployment. These layers complement our existing Security Reference Architecture, which provides broader security guidelines for a multi-account environment. This post assumes you have already implemented those guidelines, including AWS IAM Identity Center.
Executive Insights from the Inaugural AWS Life Sciences Symposium EMEA
Dr. Boris Bogdan, Director of Life Sciences at AWS, addressed the pilot-to-production challenge head on, sharing four strategic differentiators that set successful organisations apart from those stuck in pilot mode.
Transforming Food Label Verification in Retail with Generative AI
In the retail and consumer packaged goods (CPG) industry, accurate food labeling is a critical safety requirement. Retailers face an increasingly complex challenge: manually verifying that thousands of packaged foods comply with FDA regulations—particularly the allergen labeling requirements under the Food Allergen Labeling and Consumer Protection Act (FALCPA) of 2004.
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.
Managing AI agent sprawl across business units
This blog introduces a governance framework designed for organizations with multiple business units that need to enable fast agent development while maintaining enterprise-wide visibility, cost control, and safety.
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.
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.
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. […]









