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  1. 1AWS Machine Learning Blogaws.amazon.com · about 20 posts a weekOfficial Machine Learning Blog of Amazon Web ServicesLast post 24 Sept
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Latest Amazon bedrock agentcore posts

  1. Speaker-labeled transcription with WhisperX on SageMaker AI

    · aws.amazon.com · Ayush Sharma

    The AWS WhisperX Deep Learning Container packages Whisper, wav2vec2 forced alignment, and speaker diarization into a GPU-ready image. Learn how to deploy it to Amazon SageMaker AI real-time and asynchronous endpoints for word-level, speaker-labeled transcription, plus the production details that…

  2. Build a multi-account AI agent with AgentCore Gateway and MCP

    · aws.amazon.com · Senthil Kamala Rathinam

    Build a multi-account architecture that keeps each team's data in its own AWS account while giving AI agents a unified way to query across them. A central platform account runs the agent using Amazon Bedrock AgentCore Gateway and MCP, while line-of-business accounts expose their data as MCP servers…

  3. Aderant builds intelligent ticket triage with Amazon Nova

    · aws.amazon.com · Angela Mapes

    Learn how Aderant built an intelligent ticket triage system on Amazon Nova Lite through Amazon Bedrock, automating context gathering, classification, routing, and knowledge enrichment for its cloud operations team.

  4. From portal-hopping to instant answers: HEMA’s journey with MCP and Amazon Bedrock

    · aws.amazon.com · Mauro Rallo

    HEMA, a 100-year-old Dutch retailer, turned developer portal-hopping into instant answers by building HAL, an internal AI assistant on Amazon Bedrock AgentCore. Using Model Context Protocol (MCP), HAL delivers governed knowledge inside the tools teams already use, with no AWS credentials on the…

  5. Agentic conversational video intelligence built on AWS

    · aws.amazon.com · Michael Li

    Learn how to build a conversational video intelligence solution on AWS using an agentic architecture. A single Strands Agents SDK agent orchestrates Amazon Bedrock, Amazon Rekognition, and Amazon Transcribe at runtime, deciding which service to call so you can ask natural language questions about…

  6. Use open weight models as your AI coding agent with Amazon Bedrock

    · aws.amazon.com · Aris Tsakpinis

    Pair OpenCode, an open-source terminal-native AI coding agent, with open weight models on Amazon Bedrock to get a secure, flexible, pay-per-use coding assistant. Learn how to configure multi-model workflows, match the right model to each task, and keep your data in your own AWS account with no…

  7. Bring more intelligence to everyday work with GPT-6 Sol and GPT-6 Luna on Amazon Bedrock

    · aws.amazon.com · Tanvi Girinath

    GPT-6 Sol and GPT-6 Luna are now generally available on Amazon Bedrock, giving you more options to match intelligence and efficiency to each workload.

  8. Claude Opus 5.5 is now available on AWS

    · aws.amazon.com · Aamna Najmi

    Claude Opus 5.5, Anthropic's most capable Opus model for agentic coding, knowledge work, and long-running tasks, is now available on Amazon Bedrock and Claude Platform on AWS. This post covers what's new in Opus 5.5, practical guidance, and how to start building with the model on Amazon Bedrock.

  9. Evaluate skill-equipped agents with Strands Evals and Amazon Bedrock AgentCore

    · aws.amazon.com · Sangmin Woo

    Skills let you encode domain-specific procedures as reusable, portable instructions for agents, but a fluent answer doesn't prove the agent picked the right skill or followed it. Learn how to measure skill selection and instruction following with Strands Evals and Amazon Bedrock AgentCore…

  10. How Reactiv automates mobile commerce 80% faster with Amazon Bedrock AgentCore

    · aws.amazon.com · Adam Gibicar

    Reactiv used Amazon Bedrock AgentCore to build a multi-agent AI Scheduler that autonomously refreshes Shopify merchants' mobile apps on a schedule, reducing merchant configuration time by 80% and getting to production 33% faster.

  11. Right-size generative AI endpoints with concurrency sweeps on Amazon SageMaker AI

    · aws.amazon.com · Mona Mona

    Concurrency sweeps help you right-size a generative AI endpoint on Amazon SageMaker AI by systematically benchmarking it at increasing load levels. This post walks through deploying a model, running automated concurrency sweeps with the CreateAIBenchmarkJob API, and using the results to make…

  12. How Trane gets building insights 60x faster with Amazon Bedrock AgentCore

    · aws.amazon.com · Senthil Chinnaiyan

    In about four weeks, Trane Technologies built an AI-powered agentic solution on Amazon Bedrock AgentCore that reduced a 20-minute, multi-screen building diagnostic workflow to a 20-second natural language interaction, a 60x improvement in time-to-insight. This post shares the architectural approach…

  13. How Tata Elxsi detects industrial safety risks in seconds on AWS

    · aws.amazon.com · Abhideep Rastogi

    Learn how Tata Elxsi built IRIS, a real-time industrial safety platform on AWS. IRIS filters camera video at the edge, streams metadata through Amazon Kinesis, runs computer vision on Amazon SageMaker AI, and correlates detections into high-confidence alerts, detecting unsafe conditions in seconds…

  14. Extending public sector intelligence with Agentforce and AWS

    · aws.amazon.com · Christian Ramirez

    Public sector agencies process large volumes of unstructured evidence, such as body camera footage and scanned documents. This post shows how to combine Amazon Bedrock Data Automation with the Model Context Protocol (MCP) to turn that data into structured insights and surface them through natural…

  15. How BMW Group detects cost anomalies across 14,000 cloud accounts

    · aws.amazon.com · Tareq Haschemi

    BMW Group operates CLEA, a FinOps platform monitoring more than 14,000 cloud accounts. This post shows how BMW added automated daily cost anomaly detection, moving from reactive dashboards to proactive alerts using Prophet forecasting, AWS Step Functions, and a serverless pipeline that processes…

  16. Run Positron on Amazon SageMaker AI for data science workflows

    · aws.amazon.com · Abhishek Maligehalli Shivalingaiah

    Positron, Posit's IDE for data science, now runs on Amazon SageMaker AI. This post shows how a data scientist explores an Amazon Athena table, validates features in R, trains an XGBoost model in Python, deploys a real-time SageMaker AI endpoint, and reports results with Quarto, all in one governed…

  17. How Benchling secured multi-tenant AI agents with Amazon Bedrock AgentCore

    · aws.amazon.com · Jeremy Stashewsky

    Learn how Benchling built a defense-in-depth security architecture to run untrusted, AI agent-generated scientific code across thousands of life sciences tenants using Amazon Bedrock AgentCore Code Interpreter in VPC mode, combined with Amazon Route 53 Resolver DNS Firewall and VPC endpoint…

  18. Reducing medical claims review time with AI on AWS: The EXL Medical IDP solution

    · aws.amazon.com · Anutosh

    EXL built an AI-powered Medical intelligent document processing (IDP) solution on AWS, combining IDP with domain-specific large language models on Amazon SageMaker and Amazon Bedrock to extract, summarize, and query medical records at enterprise scale and cut claims review time from over 100…

  19. Amazon SageMaker Inference: 2026 year-to-date launches in review

    · aws.amazon.com · Kareem Syed-Mohammed

    Amazon SageMaker AI shipped 13 inference launches in year-to-date across two deployment paths: fully managed endpoints and Amazon SageMaker HyperPod Inference. This post reviews each launch, from inference recommendations and capacity-aware instance pools to tiered KV caching and disaggregated…