When you deploy a model to a GPU endpoint, the smallest unit of GPU you can request is one whole accelerator. This constraint can cost you twice. First, you can’t host more models on an instance than it has accelerators. An ml.p4d.24xlarge has eight A100s, so it holds eight models, whether each one needs 40 … Read more
Over the past year, as we built Amazon Quick, our agents went from answering questions to taking actions: scheduling meetings, running research, generating reports. As the system evolved, one problem kept resurfacing: there was no shared definition of the primitives that agentic work is built from. The same few ideas kept getting rebuilt under different … Read more
Organizations building applications powered by artificial intelligence (AI) face a recurring challenge: giving large language model (LLM) agents access to enterprise data lakes without duplicating integration logic across every agent and application. Most teams begin by wiring agents directly to databases and APIs, with no shared gateway such as a Model Context Protocol (MCP) server … Read more
In Part 1, you built a task agent on Amazon Bedrock AgentCore, a platform to build, connect, and optimize agents at scale, with any framework or model. The agent runs on Amazon Bedrock AgentCore runtime, a capability of Amazon Bedrock AgentCore, and acts for signed-in users through Okta Cross App Access (XAA). Okta decided which … Read more
An AI agent that updates a ticket or reads a customer record acts for a person, inside applications that person can reach. Your identity team then has to answer a question that per-app OAuth consent and shared service accounts leave open: which agent might act for which user in which application, and how you stop … Read more
Greenlight Financial resolves more than 90 percent of up to 4,000 security and risk cases each month without human intervention. Greenlight’s Luna uses Amazon Bedrock AgentCore, infrastructure for building, connecting, and optimizing agents at scale. Specifically, Greenlight uses AgentCore runtime, a capability of Amazon Bedrock AgentCore, to host Luna’s agent code. It uses AgentCore memory, … Read more
Taxbit is a digital-asset tax and accounting compliance platform. Founded in 2018, Taxbit helps enterprises such as exchanges, payment services, and brokers calculate gains and losses, collect tax documentation, and file information returns at scale. Now, a cited, permission-aware AI assistant helps compliance teams find answers right inside the product dashboard. But the knowledge needed … Read more
You might already run Claude Code locally on your laptop, backed by Amazon Bedrock. This post shows how to go a step further: run it as a remote agent on Amazon Bedrock AgentCore, a platform to build, connect, and optimize agents at scale, with any framework or model. The sample uses AgentCore runtime, a capability … Read more
Today, we are announcing the general availability of Web Answer on Amazon Bedrock AgentCore. With Web Answer, agent builders get a synthesized, source-cited answer to a natural-language question with a single tool call. They no longer build a search, retrieve, synthesize, and citation pipeline themselves. If you have built agents that need to answer questions … Read more
A+ Content is the rich media widget on the Amazon product detail page. Through visual assets, brands communicate unique product and brand value to help customers make informed purchase decisions. Selling partners using high-quality A+ Content boost their sales by 8–20 percent compared to those without it. A wide variety of brands, from established brands … Read more
Some of the questions you ask when evaluating an agent are narrow and repeatable. Did this response stay on policy? Is this tool call safe to approve? Does this answer match the retrieved context? Decision models answer exactly that kind of question. They take a structured state and a fixed set of allowed answers and … Read more
How should security leaders preserve human oversight as AI agents take on more work? Permissions establish which actions agents can take, but a permitted action can still warrant a person’s judgment. Requiring approval for every step might seem like the safest approach, yet multi-step tasks can produce repeated prompts, even for routine actions. Research on … Read more
When production AI agents handle tasks such as data analysis and report generation, context management can become a major bottleneck. A 200K-token window sounds generous until a real-world task burns through most of it in minutes. Data analysis and report generation leave the agent failing mid-execution, losing accuracy, or driving up costs. A body of … Read more
This post is co-written with Shravan K S from Indegene Limited. Enterprise AI is creating new opportunities for life sciences organizations to improve decision-making across commercial, medical, market access, and other business functions. But the quality of every AI model, dashboard, and business insight depends on one thing: trusted data. As enterprise data grows across … Read more
U Mobile, Malaysia’s newest 5G network provider, has always run its telco operations lean, doing more with less through continuous automation. When new AI capabilities became available, U Mobile explored how to enhance operational efficiency beyond basic productivity gains. The real opportunity was further upstream, in how operations teams diagnose and resolve problems in the … Read more
Organizations collect data in many forms. Structured data lives in databases and spreadsheets, whereas unstructured data sits in documents, reports, and files stored across file systems. Analyzing both together typically requires switching between multiple tools, running separate queries, and manually correlating results. Amazon Quick addresses this with a unified experience. You can connect structured data … Read more
AI agents that interact with enterprise APIs on behalf of users need to maintain user identity throughout the request chain. Without identity propagation, API calls arrive at downstream services as the application itself rather than the user who initiated the action. This breaks audit trails, bypasses user-level access controls, and violates the principle of least … Read more
Your professional reputation now lives online first. Recruiters check LinkedIn before returning a call. Clients review your digital presence before booking a first meeting. For ambitious professionals, that shift is an opportunity: a well-crafted online voice can open doors that a résumé alone never could. But standing out takes more than content generation. It takes … Read more
In this post, we show how to build a semantic layer for agentic AI using EDB Postgres AI. We run a Strands Agents agent on Amazon Bedrock AgentCore that queries the layer to answer customer 360 (C360) questions. Earlier posts in this series built the same C360 pattern with Stardog’s knowledge graph, Denodo’s data virtualization … Read more
Conversational AI is transforming how humans interact with technology. From virtual assistants and AI-powered contact centers to real-time translation and accessibility tools, voice-first interfaces are rapidly becoming the default mode of interaction for millions of users worldwide. Yet delivering a truly natural voice experience remains one of the hardest challenges in AI infrastructure. Users expect … Read more
When you build Retrieval Augmented Generation (RAG) applications, answer quality depends on the data that you ingest. Amazon Bedrock Knowledge Bases is the fully managed RAG capability of Amazon Bedrock. With Amazon Bedrock Managed Knowledge Base, you connect your data sources, and Amazon Bedrock manages ingestion, storage, indexing, and retrieval for you. You don’t provision … Read more
You built a shopping assistant on a frontier model, and it works. A shopper asks for “a black waist bag under twenty dollars from a shop with at least 4.5 stars,” and the agent searches the catalog, inspects candidates, checks the constraints, and commits to a recommendation. But what does that interaction actually cost? An … Read more
When a qualified aerospace component goes obsolete or hits a long lead time, an engineer spends days cross-referencing specifications across vendor datasheets, interface control documents (ICDs), and qualification records before documenting a substitution justification for review. An incorrect substitution on a flight-critical component can cause mission failure, yet the evidence trail behind each decision is … Read more
This post was co-written with Marek Klatowicz, Cloud DevOps Engineer at Circle K. Many DevOps teams know the incident triage pattern: An alert fires, and before anyone can fix the problem, an engineer spends 45–60 minutes figuring out what happened. They pull logs, check service health, and correlate symptoms across a handful of tools. All … Read more
Cost management for generative AI is a shared responsibility between the teams that build applications and the teams accountable for cloud spend. Many teams start by comparing per-model token rates and asking application teams to shorten prompts. Those steps help, but they don’t answer the questions that finance and engineering leaders ask as usage scales: … Read more
Coding agents now build working web apps: a dashboard, a product page, a prototype that a product team wants to try. The fastest way to review that work is to open the app, use it, ask for a change, and check the result. That loop works well when the app keeps running where the agent … Read more
Worldwide Express (part of ShipStation Global) had built something big: approximately $5 billion in systemwide revenue, over 75 less-than-truckload (LTL) carriers and more than 130,000 customers. But that same scale had a hidden cost. Every month, $15 million in free cash flow sat frozen, locked in billing exceptions no one had resolved yet. Each one … Read more
The ChatGPT desktop app is now available on Amazon Bedrock in AWS GovCloud (US), providing access to OpenAI’s frontier models through two components. Work completes complex, multi-step tasks and delivers review-ready results, and Codex is a coding agent for developing, testing, and reviewing software. This walkthrough is intended for organizations whose security architecture requires model … Read more
The Amazon Quick User Group – United Kingdom is a community of Amazon Quick users in the United Kingdom who meet quarterly to exchange knowledge, share best practices, learn through hands-on sessions, and discuss their experiences using the service. These user groups function as collaborative forums where members learn, connect, and innovate together. Whether you’re … Read more
To scale intent-driven UI testing across its product teams, Epsilon, a data, technology, and marketing-services company and part of Publicis Groupe, turned to Amazon Nova Act. With hundreds of millions of consumer profiles and thousands of brand relationships, Epsilon needed UI testing that could keep pace with rapid application changes. The solution could not create … Read more