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AI & ML on AWS

20 articles from official documentation

Practitioner20 articles
awsai mlPractitioner

AWS Price Cuts and New Monitoring Tools: What You Need to Know

AWS has slashed prices for GPT models in Bedrock, making advanced AI more accessible. With an 80% reduction in on-demand inference prices for GPT-5.6 Luna, it's a game changer for developers. Plus, CloudWatch now offers managed collectors for Prometheus metrics, simplifying your monitoring strategy.

  • Leverage the 80% price reduction for GPT-5.6 Luna to enhance AI capabilities in your applications.
  • Utilize CloudWatch's managed collectors for Prometheus metrics to simplify your monitoring setup.
5 min read·AWS Blog
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awsai mlPractitioner

Unlocking AWS Innovations: Claude Sonnet 5 and Enhanced WorkSpaces for AI

AWS is rolling out powerful updates that can transform your cloud strategy. With Claude Sonnet 5 now available and Amazon WorkSpaces enabling AI agents to operate seamlessly, you’ll want to dive into these features. Discover how these tools can enhance your productivity and efficiency.

  • Leverage Claude Sonnet 5 for advanced coding and AI tasks at scale.
  • Utilize Amazon WorkSpaces to enable AI agents to access desktop applications securely.
5 min read·AWS Blog
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awsai mlPractitioner

Designing AI-Powered Customer Experiences with Amazon Connect

Amazon Connect now allows business teams to create AI-driven customer experiences without writing a single line of code. The new Agentic CX designer offers a no-code canvas that transforms how customer interactions are built and managed.

  • Leverage the Agentic CX designer to create AI-powered experiences without coding.
  • Utilize Live Sync for real-time customer interaction updates.
3 min read·AWS Blog
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awsai mlPractitioner

AWS Innovations: Local Zones, Grok 4.3, and AI Security Unveiled

AWS continues to evolve with significant updates that impact how you manage data and build applications. The introduction of the Local Zone in Hanoi allows for local data residency, while Grok 4.3 enhances generative AI capabilities. Dive into the details that can streamline your operations.

  • Enable the Hanoi Local Zone (ap-southeast-1-han-1a) for local data residency.
  • Utilize the ModifyAvailabilityZoneGroup API to manage availability zones effectively.
5 min read·AWS Blog
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awsai mlPractitioner

AWS Summit 2026: Game-Changing Announcements You Can't Ignore

The AWS Summit in New York unveiled groundbreaking tools that will redefine how you manage AI and security in production. Notably, Amazon Bedrock AgentCore allows you to build production-grade AI agents in minutes without complex coding. Dive in to discover how these innovations can streamline your workflows.

  • Leverage Amazon Bedrock AgentCore to build AI agents quickly without coding orchestration loops.
  • Utilize AWS Continuum to prioritize and manage code vulnerabilities effectively.
5 min read·AWS Blog
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awsai mlPractitioner

Streamline AI Development with Amazon Bedrock Managed Knowledge Base

Amazon Bedrock Managed Knowledge Base is a game-changer for enterprise AI applications. It simplifies the integration of proprietary data with six native data connectors, enabling faster and more accurate outcomes. Discover how this service can transform your AI strategy.

  • Utilize six native data connectors for seamless data ingestion.
  • Leverage Smart Parsing for optimal accuracy in data handling.
5 min read·AWS Blog
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awsai mlPractitioner

Harnessing Real-Time Knowledge with Web Search on Amazon Bedrock AgentCore

Unlock the potential of your AI agents with Web Search on Amazon Bedrock AgentCore. This tool grounds responses in current, cited web knowledge, ensuring accuracy without data egress from your AWS environment. Dive into how the Model Context Protocol (MCP) facilitates this seamless integration.

  • Utilize Web Search to ground AI responses in real-time, cited web knowledge.
  • Implement the Model Context Protocol (MCP) for effective query handling.
5 min read·AWS Blog
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awsai mlPractitioner

Monetizing AI Traffic: AWS WAF's New Edge Capability

AWS WAF now enables content owners to charge AI bots for access to their data. By leveraging the Monetize rule, you can return an HTTP 402 Payment Required response with a machine-readable price manifest. This is a game changer for content monetization strategies.

  • Enable AWS WAF Bot Control at Common or Targeted level on your CloudFront distribution.
  • Configure the Monetize rule to return an HTTP 402 Payment Required response for AI bot requests.
5 min read·AWS Blog
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awsai mlPractitioner

Unlocking Mythos-Class Capabilities with Anthropic Claude Fable 5 on AWS

Anthropic Claude Fable 5 brings advanced AI capabilities to AWS, designed for complex tasks that previous models struggled with. With built-in safeguards and a requirement for data sharing, this model is a game-changer for developers looking to leverage AI in production environments.

  • Opt into data sharing using the Data Retention API to access Claude Fable 5.
  • Leverage the model's ability to handle complex tasks without constant intervention.
5 min read·AWS Blog
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awsai mlPractitioner

Unlocking AI Development with OpenAI GPT-5.5 and Codex on Amazon Bedrock

Dive into the powerful capabilities of OpenAI's GPT-5.5 and Codex models on Amazon Bedrock. Learn how to leverage the Responses API for high-performance AI-driven software development with concrete examples.

  • Access models using the OpenAI Responses API for high performance.
  • Set OPENAI_BASE_URL to 'https://bedrock-mantle.us-east-2.api.aws/openai/v1' for API calls.
5 min read·AWS Blog
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awsai mlPractitioner

Unlocking AI-Driven Development with Claude Opus 4.8 on AWS

Discover how Claude Opus 4.8 transforms software development by leveraging AI tools for enhanced productivity. This model excels in autonomous task execution and deep reasoning, making it a game-changer for coding workloads.

  • Leverage Claude Opus 4.8 for agentic coding and knowledge work.
  • Utilize sustained autonomous sessions for deeper reasoning in complex tasks.
5 min read·AWS Blog
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awsai mlPractitioner

Harnessing AWS Resilience Hub for AI-Driven SRE Strategies

AWS Resilience Hub is transforming how we approach resilience in our services, especially for generative AI applications. With features like AI failure mode assessments, you can proactively identify weaknesses in your architecture. Dive in to understand how to leverage this tool effectively.

  • Define resilience expectations through modular, composable requirements.
  • Utilize AI-powered assessments to analyze services against resilience policies.
5 min read·AWS Blog
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awsai mlPractitioner

Unlocking AI Potential with Amazon OpenSearch Serverless

Amazon OpenSearch Serverless is a game-changer for building AI applications. It scales seamlessly from zero to thousands of requests per second, offering significant cost savings. Dive into how to leverage this powerful tool effectively.

  • Leverage OpenSearch Serverless for scalable AI applications with dynamic resource management.
  • Utilize OpenSearch Compute Units (OCUs) to optimize indexing and search capacities.
5 min read·AWS Blog
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awsai mlPractitioner

Unlocking Autonomous Transactions: Amazon Bedrock AgentCore Payments

Amazon Bedrock AgentCore is revolutionizing how AI agents interact with APIs and services by enabling autonomous payments. With features like Coinbase and Stripe wallet integrations, this capability allows for seamless transactions during execution. Dive into the details of how this works and what you need to know to leverage it effectively.

  • Connect Coinbase or Stripe wallets for autonomous transactions.
  • Set session-level spending limits to control agent spending.
5 min read·AWS Blog
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awsai mlPractitioner

Unlocking the Power of AWS MCP Server for AI Agents

The AWS MCP Server is now generally available, offering a managed environment for AI agents to interact securely with AWS services. With tools like 'call_aws' and 'run_script', you can streamline operations and enhance productivity.

  • Leverage the 'call_aws' tool to execute over 15,000 AWS API operations using your existing IAM credentials.
  • Utilize 'run_script' to execute Python scripts in a secure, sandboxed environment.
5 min read·AWS Blog
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awsai mlPractitioner

Empower Your AI: Amazon WorkSpaces Gives Agents Their Own Desktop

Unlock the potential of AI in your workflows with Amazon WorkSpaces. This new feature allows AI agents to securely access desktop applications, maintaining your security posture while enhancing productivity. Discover how the Model Context Protocol (MCP) enables seamless integration with any agent framework.

  • Utilize AWS IAM for secure authentication of AI agents.
  • Leverage the Model Context Protocol (MCP) for compatibility with various agent frameworks.
5 min read·AWS Blog
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awsai mlPractitioner

Unlocking Productivity with Amazon Quick and OpenAI's Latest Innovations

AWS is pushing the boundaries of productivity with Amazon Quick and its integration with OpenAI models. Discover how Quick can generate polished documents and presentations directly from a chat interface, streamlining your workflow.

  • Leverage Amazon Quick to generate documents and presentations directly from chat.
  • Integrate Amazon Connect's four AI solutions to enhance existing workflows.
5 min read·AWS Blog
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awsai mlPractitioner

Unlocking AI Potential: Key AWS Announcements from 2026

AWS just dropped some game-changing announcements that could redefine how you integrate AI into your workflows. With Amazon Bedrock Managed Agents, you can now deploy OpenAI models like Codex seamlessly. This is a must-read for engineers looking to leverage cutting-edge AI technology.

  • Leverage Amazon Quick to automate repetitive tasks and improve productivity.
  • Integrate Amazon Connect's four AI solutions to enhance customer interactions.
5 min read·AWS Blog
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awsai mlPractitioner

Unlocking the Power of Claude Opus 4.7 and AWS Interconnect

AWS just rolled out Claude Opus 4.7 in Amazon Bedrock, enhancing your AI capabilities with improved performance for coding and professional tasks. Plus, AWS Interconnect is now generally available, offering robust private connectivity options that can transform your cloud architecture.

  • Leverage Claude Opus 4.7 for improved performance in coding and professional tasks.
  • Utilize dynamic capacity allocation in Claude Opus 4.7 to optimize resource usage.
5 min read·AWS Blog
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awsai mlPractitioner

Unlocking the Power of Claude Opus 4.7 in Amazon Bedrock

Claude Opus 4.7 is a game-changer for coding and knowledge work, leveraging Amazon Bedrock's advanced infrastructure. With a 1M token context window, it excels in long-running tasks and complex reasoning. Dive in to see how it can elevate your production workflows.

  • Leverage Claude Opus 4.7 for complex coding tasks with its enhanced agentic coding capabilities.
  • Utilize the 1M token context window for effective long-running tasks and multi-step workflows.
5 min read·AWS Blog
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