AI agents that browse the web need more than basic page navigation. Our customers tell us they need agents that maintain session state across interactions, route traffic through corporate proxy infrastructure, and run with custom browser configurations. AgentCore Browser provides a secure, isolated browser environment for your agents to interact with web applications. Until now, … Read more
Organizations face significant challenges in making their recruitment processes more efficient while maintaining fair hiring practices. By using AI to transform their recruitment and talent acquisition processes, organizations can overcome these challenges. AWS offers a suite of AI services that can be used to significantly enhance the efficiency, effectiveness, and fairness of hiring practices. With … Read more
AI agents are rapidly evolving from mere chat interfaces into sophisticated autonomous workers that handle complex, time-intensive tasks. As organizations deploy agents to train machine learning (ML) models, process large datasets, and run extended simulations, the Model Context Protocol (MCP) has emerged as a standard for agent-server integrations. But a critical challenge remains: these operations … Read more
Today we’re excited to announce that the NVIDIA Nemotron 3 Nano 30B model with 3B active parameters is now generally available in the Amazon SageMaker JumpStart model catalog. You can accelerate innovation and deliver tangible business value with Nemotron 3 Nano on Amazon Web Services (AWS) without having to manage model deployment complexities. You can … Read more
In production generative AI applications, we encounter a series of errors from time to time, and the most common ones are requests failing with 429 ThrottlingException and 503 ServiceUnavailableException errors. As a business application, these errors can happen due to multiple layers in the application architecture. Most of the cases in these errors are retriable … Read more
If you’re managing Internet of Things (IoT) devices at scale, alert fatigue is probably undermining your system’s effectiveness. This post shows you how to implement intelligent notification filtering using Amazon Bedrock and its gen-AI capabilities. You’ll learn model selection strategies, cost optimization techniques, and architectural patterns for deploying gen-AI at IoT scale, based on Swann … Read more
This is a guest post by Suyeol Yun, Jaeseon Ha, Subeen Pang and Jacob (Chanyeol) Choi at LinqAlpha, in partnership with AWS. LinqAlpha is a Boston-based multi-agent AI system built specifically for institutional investors. Over 170 hedge funds and asset managers worldwide use LinqAlpha to streamline their investment research for public equities and other liquid … Read more
Amazon is a global ecommerce and technology company that operates a vast network of fulfillment centers to store, process, and ship products to customers worldwide. The Amazon Global Engineering Services (GES) team is responsible for facilitating operational readiness across the company’s rapidly expanding network of fulfillment centers. When launching new fulfillment centers, Amazon must verify … Read more
Iberdrola, one of the world’s largest utility companies, has embraced cutting-edge AI technology to revolutionize its IT operations in ServiceNow. By using different agentic architectures, Iberdrola has transformed the way thousands of change requests and incident tickets are managed, streamlining processes and enhancing productivity across departments. Through its partnership with AWS, Iberdrola implemented those agents … Read more
Voice AI agents are reshaping how we interact with technology. From customer service and healthcare assistance to home automation and personal productivity, these intelligent virtual assistants are rapidly gaining popularity across industries. Their natural language capabilities, constant availability, and increasing sophistication make them valuable tools for businesses seeking efficiency and individuals desiring seamless digital experiences. … Read more
Today, we are publishing a new open source sample chatbot that shows how to use feedback from Automated Reasoning checks to iterate on the generated content, ask clarifying questions, and prove the correctness of an answer. The chatbot implementation also produces an audit log that includes mathematically verifiable explanations for the answer validity and a … Read more
Enterprises are increasingly shifting from relying solely on large, general-purpose language models to developing specialized large language models (LLMs) fine-tuned on their own proprietary data. Although foundation models (FMs) offer impressive general capabilities, they often fall short when applied to the complexities of enterprise environments—where accuracy, security, compliance, and domain-specific knowledge are non-negotiable. To meet … Read more
New Relic Inc. is a San Francisco-based technology company that pioneered application performance monitoring (APM) and provides comprehensive observability solutions. Serving leading customers worldwide, including major brands like Ryanair, New Relic helps organizations monitor and optimize their digital systems to deliver better customer experiences. New Relic faced a challenge common to many rapidly growing enterprises. … Read more
Generative AI and agentic applications are reshaping how businesses operate—from customer support bots to research assistants—and teams need to move from prototype to production quickly. Last year, AWS released Amazon Bedrock AgentCore—a development platform for building, deploying, and scaling AI agents in production. AgentCore provides core building blocks like runtime hosting, memory, tool integration, and … Read more
My first attempt at building a travel planning agent looked exactly like most early prototypes: one big model, a few tools, and a long system prompt. It worked fine until the moment real-world complexity showed up. Flights came from a clean API, hotels lived behind a shifting web UI, and the model kept mixing instructions, … Read more
Today, we’re announcing structured outputs on Amazon Bedrock—a capability that fundamentally transforms how you can obtain validated JSON responses from foundation models through constrained decoding for schema compliance. This represents a paradigm shift in AI application development. Instead of validating JSON responses and writing fallback logic for when they fail, you can move straight to … Read more
Training and deploying large AI models requires advanced distributed computing capabilities, but managing these distributed systems shouldn’t be complex for data scientists and machine learning (ML) practitioners. The command line interface (CLI) and software development kit (SDK) for Amazon SageMaker HyperPod with Amazon Elastic Kubernetes Service (Amazon EKS) orchestration simplify how you manage cluster infrastructure and use … Read more
In the post Evaluating generative AI models with Amazon Nova LLM-as-a-Judge on Amazon SageMaker AI, we introduced the Amazon Nova LLM-as-a-judge capability, which is a specialized evaluation model available through Amazon SageMaker AI that you can use to systematically measure the relative performance of generative AI systems. SageMaker AI now offers a rubric-based large language … Read more
This is a guest post co-written with David Meredith and Josh Zacharias from Associa. Associa, North America’s largest community management company, oversees approximately 7.5 million homeowners with 15,000 employees across more than 300 branch offices. The company manages approximately 48 million documents across 26 TB of data, but their existing document management system lacks efficient … Read more
Embedding models power many modern applications—from semantic search and Retrieval-Augmented Generation (RAG) to recommendation systems and content understanding. However, selecting an embedding model requires careful consideration—after you’ve ingested your data, migrating to a different model means re-embedding your entire corpus, rebuilding vector indexes, and validating search quality from scratch. The right embedding model should deliver … Read more
Marketing teams face major challenges creating campaigns in today’s digital environment. They must navigate through complex data analytics and rapidly changing consumer preferences to produce engaging, personalized content across multiple channels while maintaining brand consistency and working within tight deadlines. Using generative AI can streamline and accelerate the creative process while maintaining alignment with business … Read more
This post is cowritten with James Luo from BGL. Data analysis is emerging as a high-impact use case for AI agents. According to Anthropic’s 2026 State of AI Agents Report, 60% of organizations rank data analysis and report generation as their most impactful agentic AI applications. 65% of enterprises cite it as a top priority. … Read more
Many organizations need to manage file uploads across different cloud storage systems while maintaining security and compliance. Although Google Drive provides APIs for integration, organizations often don’t have the technical experts to interact with these APIs directly. Organizations need an intuitive way to handle file uploads using natural language, without requiring specialized knowledge of the … Read more
Building production-ready AI agents requires careful planning and execution across the entire development lifecycle. The difference between a prototype that impresses in a demo and an agent that delivers value in production is achieved through disciplined engineering practices, robust architecture, and continuous improvement. This post explores nine essential best practices for building enterprise AI agents … Read more
Performing research and clinical analytics on vast amounts of clinical data can be difficult. Healthcare data scientists and epidemiologists possess deep domain expertise in patient care, disease patterns, and clinical outcomes, yet they often spend weeks navigating complex data infrastructures, writing boilerplate code, and wrestling with technical barriers before they can answer a single clinical … Read more
This post was cowritten by Rishi Srivastava and Scott Reynolds from Clarus Care. Many healthcare practices today struggle with managing high volumes of patient calls efficiently. From appointment scheduling and prescription refills to billing inquiries and urgent medical concerns, practices face the challenge of providing timely responses while maintaining quality patient care. Traditional phone systems … Read more
Managing ModelOps workflows can be complex and time-consuming. If you’ve struggled with setting up project templates for your data science team, you know that the previous approach using AWS Service Catalog required configuring portfolios, products, and managing complex permissions—adding significant administrative overhead before your team could start building machine learning (ML) pipelines. Amazon SageMaker AI … Read more
Building AI applications with Amazon Bedrock presents throughput challenges impacting the scalability of your applications. Global cross-Region inference in the af-south-1 AWS Region changes that. You can now invoke models from the Cape Town Region while Amazon Bedrock automatically routes requests to Regions with available capacity. Your applications get consistent response times, your users get reliable experiences, … Read more
Enterprises are managing ever-growing volumes of content, ranging from product catalogs and support articles to knowledge bases and technical documentation. Ensuring this information remains accurate, relevant, and aligned with the latest business facts is a formidable challenge. Manual content review processes are often slow, costly, and unable to keep pace with dynamic business needs. According … Read more
This post was co-written with Saurabh Gupta and Todd Colby from Pushpay. Pushpay is a market-leading digital giving and engagement platform designed to help churches and faith-based organizations drive community engagement, manage donations, and strengthen generosity fundraising processes efficiently. Pushpay’s church management system provides church administrators and ministry leaders with insight-driven reporting, donor development dashboards, and automation … Read more