Category: Amazon Bedrock

Learn how to transform collections operations for banks and fintechs with AI and ML on AWS The Business Challenge Financial institutions face mounting pressure in collections operations. Traditional debt collection operates on a simple playbook: aggressive phone calls, generic messaging, and rule-based workflows. Yet customers have unique capacity to pay (income, assets, competing obligations), willingness […]

Organizations around the world are growing their usage of Microsoft Teams every year. Currently Microsoft Teams has 320 million users across more than 1 million organizations. Microsoft Teams has multiple uses including file storage and user communication. Companies that are focused on industrial areas such as oil and gas will experience users discussing various topics […]

Update — May 7, 2026: AWS has launched Amazon Bedrock AgentCore Payments (Preview) — bringing native, managed payment capabilities to AI agents built on Amazon Bedrock. AgentCore Payments lets agents autonomously discover, authorize, and execute x402 micropayments with built-in wallet management, policy-based spending controls, and a full audit trail — no custom payment infrastructure required. […]

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 […]

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. […]

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 […]

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 […]