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Amazon Web Services
aws.amazon.com > blogs > machine-learning > structured-outputs-on-amazon-bedrock-schema-compliant-ai-responses

Structured outputs on Amazon Bedrock: Schema-compliant AI responses

Structured outputs on Amazon Bedrock: Schema-compliant AI responses2+ hour, 44+ min ago   (410+ words) 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. For years, getting structured data from language models meant crafting detailed prompts,…...

Amazon Web Services
aws.amazon.com > blogs > compute > building-fault-tolerant-long-running-application-with-aws-lambda-durable-functions

Building fault-tolerant applications with AWS Lambda durable functions

Building fault-tolerant applications with AWS Lambda durable functions6+ hour, 2+ min ago   (348+ words) Use the'AWS Serverless Application Model (AWS SAM)'to create a new durable function with'sam init'with an AWS Quick Start Template. Lambda durable functions are also supported by the'AWS Cloud Development Kit (AWS CDK),'AWS Command Line Interface (AWS CLI),'AWS CloudFormation'and…...

Amazon Web Services
aws.amazon.com > blogs > machine-learning > evaluate-generative-ai-models-with-an-amazon-nova-rubric-based-llm-judge-on-amazon-sagemaker-ai-part-2

Evaluate generative AI models with an Amazon Nova rubric-based LLM judge on Amazon SageMaker AI (Part 2)

Evaluate generative AI models with an Amazon Nova rubric-based LLM judge on Amazon SageMaker AI (Part 2)6+ hour, 26+ min ago   (1203+ words) 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…...

Amazon Web Services
aws.amazon.com > blogs > migration-and-modernization > modernize-your-applications-using-amazon-bedrock-agentcore-gateway-and-kiro-powers

Modernize your applications using Amazon Bedrock AgentCore Gateway and Kiro powers

Modernize your applications using Amazon Bedrock AgentCore Gateway and Kiro powers8+ hour, 16+ min ago   (1346+ words) Note " My colleague Ryan Peterson presented an earlier version of this modernization pattern at re:Invent 2025. This blog post provides a more complete picture of the solution and incorporates newly available features such as Kiro powers. Many customers I talk…...

Amazon Web Services
aws.amazon.com > blogs > apn > transform-ctem-with-zafrans-threat-exposure-management-platform-on-aws

Transform CTEM with Zafran’s threat exposure management platform on AWS

Transform CTEM with Zafran’s threat exposure management platform on AWS14+ hour, 8+ min ago   (677+ words) By: Len Gomes " AWS Partner Solutions Architect By: Sriram Mohan " AWS Cloud Architect By: Yonatan Zerahia " Zafran Director of Product By: Nick Fisher " Zafran VP of Marketing This post explores how Zafran's Threat Exposure Management Platform uses generative AI and…...

Amazon Web Services
aws.amazon.com > blogs > publicsector > bevar-ukraine-empowering-ukrainian-refugees-with-ai-powered-support-on-aws

Bevar Ukraine: Empowering Ukrainian refugees with AI-powered support on AWS

Bevar Ukraine: Empowering Ukrainian refugees with AI-powered support on AWS1+ day, 1+ hour ago   (495+ words) This is a guest post written by Bevar Ukraine, an AWS customer Bevar Ukraine is an independent, Danish, non-profit humanitarian organization that delivers social and legal support to displaced Ukrainians as well as providing humanitarian aid to Ukraine. It has…...

Amazon Web Services
aws.amazon.com > blogs > machine-learning > how-associa-transforms-document-classification-with-the-genai-idp-accelerator-and-amazon-bedrock

How Associa transforms document classification with the GenAI IDP Accelerator and Amazon Bedrock

How Associa transforms document classification with the GenAI IDP Accelerator and Amazon Bedrock1+ day, 2+ hour ago   (719+ words) This is a guest post co-written with David Meredith and Josh Zacharias from Associa. This post discusses how Associa is using Amazon Bedrock to automatically classify their documents and to help enhance employee productivity. The GenAI IDP Accelerator is a…...

Amazon Web Services
aws.amazon.com > blogs > big-data > reduce-mean-time-to-resolution-with-an-observability-agent

Reduce Mean Time to Resolution with an observability agent

Reduce Mean Time to Resolution with an observability agent1+ day, 3+ hour ago   (632+ words) In this post, we present an observability agent using OpenSearch Service and Amazon Bedrock AgentCore that can help surface root cause and get insights faster, handle multiple query-correlation cycles, and ultimately reduce MTTR even further. The following diagram shows the…...

Amazon Web Services
aws.amazon.com > blogs > big-data > amazon-opensearch-ingestion-service-101-set-cloudwatch-alarms-for-key-metrics

Amazon OpenSearch Ingestion 101: Set CloudWatch alarms for key metrics

Amazon OpenSearch Ingestion 101: Set CloudWatch alarms for key metrics1+ day, 3+ hour ago   (737+ words) Amazon OpenSearch Ingestion is a fully managed, serverless data pipeline that simplifies the process of ingesting data into Amazon OpenSearch Service and OpenSearch Serverless collections. Some key concepts include: This end-to-end data ingestion service can help you collect, process, and…...

Amazon Web Services
aws.amazon.com > blogs > mt > optimize-cost-and-automate-security-remediation-with-ams-trusted-remediator

Optimize cost and automate security remediation with AMS Trusted Remediator

Optimize cost and automate security remediation with AMS Trusted Remediator1+ day, 3+ hour ago   (177+ words) This fundamental mismatch between recommendation volume and remediation capacity requires rethinking remediation as a systematic, automated process rather than manual tasks. The question isn't whether to automate remediation, but how quickly to implement automation before manual processes become unsustainable. Figure…...