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In this code talk session, we'll explore how multi-agent collaboration powered by Amazon Bedrock Agentcore transforms security and vulnerability management for SecOps teams. We'll demonstrate how specialized agents working in concert can automate vulnerability assessment and building remediation patches using AgenticAI.

Regulated industries face the challenge of innovating with agility while addressing stringent security and compliance requirements in the cloud. In this session, learn how the Japanese government successfully implemented a centralized governance model for cloud adoption across 30 ministries and 1,700 local government, enabling over 5,000 accounts to be managed seamlessly.

Join us to explore the emerging field of quantum computing through Amazon Braket. This session outlines AWS's quantum strategy and latest service capabilities, demonstrating how organizations can begin experimenting with quantum algorithms alongside classical computing workloads. Senior technical and business leaders will gain a clear understanding of current quantum capabilities, experimental approaches, and how future quantum computers will integrate with HPC systems.

Discover how you can deliver new insights to your application users with Quick Sight. Learn how Moody's Insurance Solutions uses Quick Sight to embed interactive analytics in their Intelligent Risk Platform (IRP) to unlock the power of advanced risk analytics and data-driven decision making. Hear how Quick Sight enables you to add curated analytics experiences like interactive dashboards, paginated reports, and natural language Q&A into any application through low/no-code workflows.

Join AWS She Builds hosts Kandyce Bohannon and Yusra Al-Sharafi as we explore the power of Amazon Q Developer's custom agent capabilities. In this hands-on session, we'll build and orchestrate intelligent agents that transform how we work with AWS: 🤖 Amazon Q Developer Custom Agents - Creating specialized agents for project management, architecture design, and security review 🔗 Agent Orchestration - Coordinating multiple Q Developer agents through Model Context Protocol (MCP) ⚡ Q CLI...

Ever wondered how small steps in data analysis can lead to game-changing moments on the football field? Join us as we dive deep into the world of NFL Next Gen Stats powered by AWS. In this exclusive interview, we sit down with a senior manager of research and analytics, Mike Band, from NFL Next Gen Stats to uncover how incremental learning and cutting-edge technology are revolutionizing the sport of football. Subscribe to AWS: https://go.aws/subscribe Sign up for AWS: https://go.

Amazon Stores set out to fundamentally accelerate its engineering teams through AI-native development — targeting a 3x output increase — and achieved a 4.5x median productivity gain. The breakthrough came not from tools alone, but from pairing them with new ways of working. AWS services, including Kiro, provide the foundational tools that Amazon builders rely on every day.

Discover a new way to strengthen your security with AWS Shield network security director. See how you can visualize your network resources, discover configuration issues, and receive step-by-step remediation guidance. Learn how to use AWS generative AI-powered assistant, Amazon Q Developer to transform complex security data into clear, actionable improvements for your AWS environment. Learn more about AWS Shield: https://go.aws/shield Subscribe to AWS: https://go.

In part 3 of this 5 part video series on Small Language Models with Arcee AI, Andrew Walko and Nolan Chen discuss whether running SLMs on CPU is all hype or if there's a real way to do it in production. They discuss which model sizes can be used and how it can be done in the most cost-performant manner on AWS. Learn more - https://go.aws/4laWv7r Subscribe to AWS: https://go.aws/subscribe Sign up for AWS: https://go.aws/signup AWS free tier: https://go.aws/free Explore more: https://go.

Join this session to discover how Canada Life transformed its contact center by moving from a fragmented, manual system to a cloud-based, AI-powered solution using Amazon Connect. This shift enabled seamless multi-channel engagement enabling customer interaction through their preferred channel, simplified authentication, and empowered agents with real-time tools and unified interfaces—resulting in streamlined operations, reduced complexity, faster resolutions and thus reduced operational costs...

For more details on this topic, visit the AWS Knowledge Center on AWS re:Post and read the full article associated with this video: https://repost.aws/knowledge-center/opensearch-outside-vpc-nginx The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more.

AI is transforming how we monitor and manage complex systems. But, while AI can predict, prevent, and even fix problems, it can also fail quietly. This session explores both sides of the coin: AI-powered observability, where AI augments human capability to detect and resolve issues faster, and observability for AI, where we ensure AI itself remains accurate, fair, and reliable.