Category: Artificial Intelligence

How the x402 Protocol Lets AI Agents Transact Autonomously, and What That Means for the Financial Services Industry Introduction Financial services industry (FSI) organizations have invested significantly in AI, deploying agents that can analyze market data, assess credit risk, monitor compliance, and generate insights at a speed and scale no human team can match. Yet […]

This blog is co-written with Shane O’Connor and Kendra Burkholder from Huron. Healthcare providers that are innovative are always striving to deliver exceptional patient experiences while optimizing business operations for speed and cost. Huron Consulting Group (Huron) has developed innovative solutions using the generative AI built on AWS. They are transforming how healthcare providers measure […]

Hannover Messe 2026 is almost here, and this year the conversation is all about putting AI to work on the factory floor. As the world’s leading trade show for industrial technology, Hannover Messe brings together industry leaders and practitioners in manufacturing, energy, and logistics to address key challenges facing global industry. This year’s event takes […]

The renewable energy sector stands at a critical inflection point. The electricity demand in the USA is set to increase by 25% until 2030, meanwhile, over 90% of that demand will be covered by renewable additions. With global renewable power capacity projected to increase almost 4,600 GW between 2025 and 2030, double the deployment of […]

Toyota Motor Europe NV/SA (TME) oversees the wholesale sales and marketing of Toyota, GR (GAZOO Racing), Lexus vehicles, parts and accessories, as well as Toyota’s European manufacturing and engineering operations. As part of their strategic Legacy Modernization program, TME is exploring the use of generative artificial intelligence (generative AI) to accelerate their mainframe migration efforts. […]

Bioinformatics workflows are computationally expensive, often running for hours to days. When these workflows fail mid-execution or require iterative refinement, rerunning from scratch wastes significant time and compute resources. AWS HealthOmics call caching solves this challenge by intelligently saving and reusing completed task outputs, enabling workflows to resume from failure points rather than restarting entirely. […]

Introduction The network slicing market is accelerating as leading operators offer wide-scale services to enterprises and consumers. Network slicing is a 5G technology that partitions a single physical network into multiple, isolated virtual networks (slices), each customized for specific use cases like gaming, Extended Reality (XR), Internet of Things (IoT), and enterprise applications. Network slicing […]

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, […]

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 […]