AWS Machine Learning
20 stories
AWS Machine LearningLabsBring structured and unstructured data together with Amazon Quick 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.
AWS Machine LearningLabsServiceNow on-behalf-of token exchange with Bedrock AgentCore Gateway AI agents that interact with enterprise APIs on behalf of users need to maintain user identity throughout the request chain.
AWS Machine LearningLabsHow Gen Digital built Norton Revamp’s AI-curated News Engine with Amazon Bedrock AgentCore Web Search Your professional reputation now lives online first. Recruiters check LinkedIn before returning a call. Clients review your digital presence before booking a first meeting.
AWS Machine LearningLabsBuild a semantic layer for agentic AI with EDB Postgres AI and Amazon Bedrock AgentCore 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…
AWS Machine LearningLabsBuilding ultra-low-latency voice AI applications on AWS 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…
AWS Machine LearningLabsIntroducing India-based inference for Kimi K3 on Amazon Bedrock Kimi K3 is a multi-modal, open-weight foundation model (FM) that provider Moonshot AI reported achieved frontier-level coding and general agentic intelligence at release.
AWS Machine LearningLabsPrepare web content for Amazon Bedrock Knowledge Bases with Crawl4AI When you build Retrieval Augmented Generation (RAG) applications, answer quality depends on the data that you ingest.
AWS Machine LearningLabsBuild efficient agents with knowledge distillation on Amazon SageMaker AI 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…
AWS Machine LearningLabsAgentic engineering intelligence with Amazon Nova Multimodal Embeddings and Amazon Bedrock AgentCore 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…
AWS Machine LearningLabsHow Circle K accelerated DevOps incident triage to under 15 minutes with Amazon Bedrock 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…
AWS Machine LearningLabsManaging Amazon Bedrock costs end to end: A playbook for FinOps and platform teams Cost management for generative AI is a shared responsibility between the teams that build applications and the teams accountable for cloud spend.
AWS Machine LearningLabsPreview web apps live as your coding agent builds them with Amazon Bedrock AgentCore runtime Coding agents now build working web apps: a dashboard, a product page, a prototype that a product team wants to try.
AWS Machine LearningLabsHow Worldwide Express automated freight exceptions with Amazon Bedrock 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.
AWS Machine LearningLabsConfigure the ChatGPT desktop app with Amazon Bedrock in AWS GovCloud (US) The ChatGPT desktop app is now available on Amazon Bedrock in AWS GovCloud (US) , providing access to OpenAI’s frontier models through two components.
AWS Machine LearningLabsHow the UK Amazon Quick User Group grew in 2026 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…
AWS Machine LearningLabsBuilding intent-driven UI testing with Amazon Nova Act 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 .
AWS Machine LearningLabsBuild a repeatable PHP-to-Java migration engine with Kiro When your team moves a mature PHP application to Java, you gain stronger type safety, broader library support, and more predictable scaling.
AWS Machine LearningLabsLend and borrow resources across teams with AWS Batch’s quota management for SageMaker Training jobs With the launch of AWS Batch support for Amazon SageMaker Training jobs, customers gained a new fully managed way to queue, schedule, and retry machine learning (ML) training workloads without…
AWS Machine LearningLabsHow MoEngage turned over 400 APIs into agent tools with AgentCore Gateway This post was co-written with Nikhil Kumar and Shakir Khan from MoEngage. When engineering teams start building AI agents, the capabilities those agents need usually already exist as internal APIs.
AWS Machine LearningLabsAccelerate agentic AI with NVIDIA Nemotron models on Amazon EKS and SageMaker HyperPod EKS NVIDIA Nemotron 3.5 Super VL joins the NVIDIA Nemotron 3 Nano , Nano Omni , Super , Ultra , and Nemotron 3.5 Lightning models already available on AWS.
Nothing matches this filter yet.