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Behind the promise of AI SRE lies a complex problem: how do you build multi-agent systems that reason across the full production context across code, infrastructure, observability signals, and tribal knowledge, to deliver answers, not just data? In this session, dive into what it takes to architect AI that performs autonomous root cause in minutes and enables intuitive vibe debugging for everyday engineering.

Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.aws/signup Try AWS for free: https://go.aws/free Connect with an expert: https://go.aws/contact Explore more: https://go.aws/more Next steps: Explore on AWS in Analyst Research: https://go.aws/reports Discover, deploy, and manage software that runs on AWS: https://go.aws/marketplace Join the AWS Partner Network: https://go.aws/partners Learn more on how Amazon builds and operates software: https://go.

With Amazon Connect, an AI-powered contact center from AWS, you can transform your customer experience at scale. Set up a cloud contact center in only a few steps to create connected experiences across any channel, increase productivity through AI-human collaboration, and optimize your contact center operations. For more information about Amazon Connect, visit https://go.aws/connect. Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.

MHS (Model Hardware Standard) brings an open standard for agents and hardware to plug in together, just like how MCP made it easy for agents to plug into software. Strands Agents (AWS) and Anthropic are working on this standard together by testing with robots. Request research preview access: https://go.aws/4yrrPoy Read more: https://go.aws/4gDq8hO Follow developments with MHS on Discord: https://go.aws/4yjmks2 Follow AWS Developers! 🆇 X: https://go.aws/4A3pWA2 💼 LinkedIn: https://go.

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With Amazon Connect Customer, Jupiter Medical Center optimized scheduling and reduced operational friction. Backlogs dropped by 40%, costs decreased by 30%, and call abandonment rates were cut in half - helping patients access care faster. Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.aws/signup Try AWS for free: https://go.aws/free Connect with an expert: https://go.aws/contact Explore more: https://go.

In this episode of AI in the Wild, we’re in Berlin, Germany, as the NFL takes the game global and AWS AI powers what happens on and off the field. From player safety and recovery to strategy, game planning, and fan engagement, the NFL runs a composite AI playbook on AWS to help teams compete smarter and keep athletes healthier.

There's one error that every beginner hits, usually within their first week. Access denied. And the fix most people reach for, administrator access, is the worst thing you can do. I explain the basics of IAM in under 10 minutes in plain English. Next time you see Access Denied, you'll know exactly what to fix I cover: * What IAM actually does (the "bouncer" mental model) * Users vs. Roles vs. Policies -- when to use each * The employee badge vs.

Watch to learn how to maintain your AWS Certification on AWS Skill Builder. Learn more about maintaining AWS Certification: https://go.aws/4oIKnNm Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.aws/signup Try AWS for free: https://go.aws/free Connect with an expert: https://go.aws/contact Explore more: https://go.aws/more Next steps: Explore on AWS in Analyst Research: https://go.

Twitch stream from aws

Dive deep into advanced security architectures for AI workloads, exploring how to protect your workload against sophisticated attack vectors. Through technical examples, we'll implement secure architectures for AI workloads, covering identity, fine-grained access policies, and secure foundation model deployment patterns. Learn how to harden generative and agentic AI applications using AWS security capabilities, implementing least-privilege controls, and building secure architectures at scale.

Today we're building a multi-agent travel recommendations app using AWS Bedrock Agentcore. Whether you're experienced with AWS or just getting started with AI development, this live demo demonstrates how simple and powerful it is to build sophisticated multi-agent systems on AWS. Interact with us in the chat and if we have time we'll dive into Agentcore Observability for our newly build system!