AWS for Industries

This blog post shows you how to transform days of manual financial analysis into seconds of comprehensive insights by building an Agentic GraphRAG solution for capital markets. You’ll see the architecture, graph schema design, and agent setup that lets business users ask complex questions in plain language. Capital markets firms track financial relationships across multiple […]

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, […]

At AWS re:Invent 2025, Nissan Motor Co., Ltd. (Nissan) announced the Nissan Scalable Open Software Platform, built on AWS, that accelerates Software-Defined Vehicle (SDV) development. Nissan began collaborating with AWS in 2023 to modernize its global engineering environment, reduce development bottlenecks and support next-generation vehicle innovation. By migrating testing pipelines to AWS and standardizing development […]

Introduction Building production-ready agentic AI solutions can present significant challenges—from navigating complex architectures to establishing clear development patterns. The life sciences industry adds further complexity: strict regulations, diverse data modalities, and the variety of diseases all require additional time and specialized approaches. At AWS, we believe there’s a better path forward. AWS continues to invest […]

Procurement teams increasing struggle with managing vendor selection and Request for Quotation (RFQ) processes effectively. Buyers spend significant time navigating multiple Enterprise Resource Planning systems and external data sources. They must consolidate supplier information, validate compliance requirements, and compare costs across vendors to identify the optimal option. This fragmentation causes delays, manual errors, and missed […]

Ericsson rApp as a Service – Redefining Network Optimization with Agentic AI The future of telecom networks is autonomous, intelligent, and cloud driven. Ericsson and AWS are taking a significant leap forward by introducing Ericsson rApp as a Service (rApp aaS), a pioneering solution designed to accelerate the journey towards autonomous networks for Communication Service […]

Cloud technology enables sustainable energy pioneers to accelerate their transition to sustainable fuels, while maintaining operational excellence and their competitive advantage in an evolving energy landscape. We will explore how energy companies are leveraging Amazon Web Services (AWS) to revolutionize their supply chain for sustainable fuel and in particular hydrotreated vegetable oil (HVO). Energy companies […]

Advances in cloud performance continue to accelerate the shift of capital markets to the cloud. This shift demands that core market infrastructure be re-engineered for cloud-based resilience and performance. Aeron’s high-performance messaging and clustering technology is purpose-built to support this move, enabling front-office trading and risk workflows, liquidity provision, trade execution, and market data to […]

In part 1- Healthcare Industry lens, we shared an overview of the impact of the European Union (EU) Data Act on Healthcare IoT, Act core requirements, and demonstrated how Amazon Web Services (AWS) services can be used to create data workflows to support efforts to meet requirements. Technical implementation guide Now that you’ve learned about […]

Introduction In today’s mission-critical networks, distributed and edge computing plays a vital role in telecommunications, gaming, Edge AI processing, and autonomous vehicles. As distributed applications are deployed across multiple AWS Regions, Availability Zones (AZs), and Local Zones (LZs) to meet customer demands for ultra-low latency services, understanding each node’s performance becomes increasingly complex. Traditional monitoring […]