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Join us for an essential deep dive into AWS FinOps optimization with our latest episode of "The Keys to AWS Optimization"! 🚀 In this livestream, AWS Senior Optimization Architect Steph Gooch explores the revolutionary FinOps Agent and how it's transforming cloud cost management. Discover the key differences between AI for FinOps (AWS Q, MCP) and the new FinOps Agent, and learn why this tool is a game-changer for engineering teams looking to shift left on cost optimization.

Financial institutions need to orchestrate specialized analysis across diverse domains while maintaining regulatory compliance and performance at scale. Learn how Moody's built their Research Assistant using domain agents for ratings, climate, and economics; task agents for KYC screening and company credit assessment; and workflow agents for sales and marketing and portfolio monitoring with early warning signals on Amazon Bedrock.

The AWS Nitro System revolutionized cloud computing by providing always-on confidential computing, ensuring AWS has zero operator access to customer data. While AWS offers various ways to assure this protection, today we are introducing Nitro Isolation Engine as an enhancement to the Nitro System.

Discover how Kiro Agentic IDE revolutionizes financial services application development through intelligent code generation, automated compliance checks, and context-aware suggestions. This session shares real-world implementation experiences, productivity gains achieved, and lessons learned while building secure, regulated financial applications.

Going from a pilot to a secure, scalable, and reliable agent system requires more than great prompts. In session, we'll show how Amazon Bedrock AgentCore helps teams move from proof-of-concept to production using enterprise-grade services, including Runtime, Gateway, Identity, Memory, Observability, Code Interpreter, and Browser. Learn how these services simplify development, reduce operational burden, and improve time-to-value.

AI agents don't wait. They spike, burst, and scale in ways traditional search infrastructure was never designed to handle. That's why we rebuilt Amazon OpenSearch Serverless from the ground up for agentic AI and unpredictable workloads. In this video, learn how the next generation of OpenSearch Serverless delivers: ⏱️ Instant scaling — resources creation in seconds and scale to zero when idle. No downtime, no manual intervention.

Amazon Bedrock Managed Agents, powered by OpenAI, is now in limited preview. Building production-grade AI agents and applications require more than intelligence. It requires enterprise infrastructure, security, and the operational foundation to run reliably at scale, plus memory that persists across sessions, skills that encode procedures, identity that enforces the right permissions, and compute options appropriate for the task.

To mark AWS's 20th anniversary, this fireside panel at AWS Summit Sydney 2026 brings together some of Australia and New Zealand's most iconic technology pioneers from Canva, NAB, and Xero for a conversation about the bold bets that shaped their companies, the moments cloud infrastructure changed what was possible, and what comes next in an AI-first world. Panellists: Cliff Obrecht (Co-Founder & COO, Canva), Steve Day (CTO, NAB), and Sukhinder Singh Cassidy (CEO, Xero).

AWS is accelerating Web3 development across diverse use cases, including AI agents entering the digital economy, through core infrastructure, specialized offerings, and partner solutions. Join AWS and Coinbase to dive deep into the fundamental building blocks and full-stack architecture where AI agents, powered by Amazon Bedrock, execute digital assets payments using open payment protocols over a public blockchain.

A Research AI Agent that reads a blog, extracts entities such as product names, authors, customer names, and queries a vector store to get more product details, and writes a summary to a markdown file using Strands SDK. You will learn how to use built-in strands tools and create custom tools with strands agents using Anthropic Claude Sonnet Model in Bedrock to accomplish the task with very few lines of code. And lastly, you will also learn how to estimate the cost of the agent execution.

In this demo video you'll discover how you can get started with the new serverless model customization capability in Amazon SageMaker AI. You'll learn how to accelerate the model customization workflow with the easy-to-use interface and AI agent-guided workflow (in preview). Learn more about Amazon SageMaker AI model customization: https://go.aws/ai-model-customization Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.aws/signup Try AWS for free: https://go.

Building on AWS but your end users aren't near a Region? AWS Local Zones extend AWS infrastructure to 30+ metros worldwide, bringing compute, storage, networking, and AI/ML services closer to where you need them. Deliver single-digit millisecond latency, meet data residency requirements, accelerate legacy migrations, and run AI/ML workloads without building your own data centers.