AWS for Industries

In this blog post, we will learn about how AUMOVIO used the services and expertise of Amazon Web Services (AWS) to develop an innovative automotive coding assistant on the domain of software-defined vehicles (SDV). AUMOVIO’s solution makes use of multiple AI models to accelerate different development lifecycle steps while helping to ensure alignment with automotive […]

re:Invent 2025 addressed a wide range of financial services challenges, from mission-critical infrastructure to customer experience transformation. Agentic AI took center stage with over 30 dedicated sessions, reflecting the industry’s adoption of AI agents in production environments. From Matt Garman’s (CEO, AWS) keynote featuring Nasdaq, Visa, and National Australia Bank (NAB’s) work with Amazon Bedrock […]

Introduction to Modern Payment landscape The rapid evolution of digital payments has fundamentally transformed how businesses handle financial transactions, with payment processors becoming essential partners in this transformation. Modern payment processors provide the foundational infrastructure that handles the complexities of payment processing, compliance, and global payment methods. When this infrastructure integrates with AWS cloud services, […]

In this post, you’ll learn how AWS and Qt Group collaborated to support innovation in automotive user interface (UI) development. By combining AI-powered code generation (Kiro) and automated testing (Squish) using virtual targets on AWS, customers like Schaeffler, Nissan, Stellantis and others can work to reduce defects and accelerate development workflows. The automotive industry is […]

The U.S. banking industry is entering one of its most transformative periods. Rapid shifts in interest rates are reshaping margins, commercial real estate (CRE) exposures demand sharper insights, and regulators are raising the bar for speed and transparency. For banking leaders, these dynamics represent not just challenges to navigate, but opportunities to differentiate. In this […]

This is the second blog in our series on factor modeling. In our first factor modeling blog, we developed a framework to mine quickly new factors using Amazon Bedrock, AWS Batch, and Step Functions from alternative data. Read more about that approach. After discovering effective factors, the natural next step is to incorporate these factors […]

Introducing the Amazon Web Services (AWS) Healthcare Learning Plan for Executives, a no-cost educational resource designed to address the digital transformation opportunity in healthcare. It outlines how leaders in the healthcare sector can quickly gain essential cloud knowledge to drive successful transformation initiatives without compromising on security and compliance. Background Healthcare stands at a transformative […]

Introduction In working with insurance providers, we have observed a consistent challenge: making complex policy information accessible and understandable to customers across their preferred channels. When customers seek coverage details, they often encounter dense policy documents, generic chatbot interactions, or lengthy call wait times. These friction points create customer frustration, drive up operational costs, and […]

How your IP addresses are perceived plays a critical role in ensuring reliable communication with external services. Whether you’re a telecom provider routing customer traffic, a software-as-a-service (SaaS) platform engaging with business partners, or an enterprise application reaching users across the internet, the perception of your IP space directly affects accessibility and service continuity. Although […]

It can be challenging to build a real-time agentic AI applications that interacts with AWS HealthLake datastores. This requires deep knowledge of fast healthcare interoperability resources (FHIR) operations and Amazon Web Services (AWS) SDK implementations. We’re excited to share an open-source Model Context Protocol (MCP) server. It streamlines healthcare data operations by providing natural language […]