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What does it take to migrate some of the largest, most complex enterprise and federal workloads to the cloud without disrupting mission operations or compromising security? In this session, discover how the National Reconnaissance Office and Fannie Mae architected and executed mission-scale migrations to AWS.

Allianz Technology is transforming into a generative AI-enabled organization—at global scale. With operations in 74 countries, the team needed a secure, elastic foundation to accelerate innovation while maintaining reliability. By working with AWS and the Generative AI Innovation Center, Allianz deployed agentic capabilities across its co-insurance platform in under 100 days—cutting claims handling and implementation times by 80%.

Everyone talks about data governance — but few can explain what it actually means in practice. In this episode, we break it down to its essentials: understanding, curating, and protecting data so it supports real business outcomes. You’ll learn why data governance isn’t about control or bureaucracy, but about enabling trust, quality, and business value. We’ll also share how to get started and what not to measure when building your program. Learn more about Amazon SageMaker Catalog - http://go.

AWS OnAir travels to Philadelphia to kick off the 2025 NFL season! As we work our way through the tailgate, we'll learn about how the NFL schedule is made, how Next Gen Stats are created and used in broadcasts, how AWS technology is impacting ways to predict injuries, and how YOU can get involved in the Big Data Bowl this year!

In this episode of AWS for AI, we sit down with Akshat Prakash, CTO and co-founder of Camb.ai, to explore how this Dubai-based startup is revolutionizing content localization through AI. From making sports accessible in 140+ languages to preserving indigenous cultures with fewer than 600 speakers, discover how they're breaking down global language barriers. Witness history as we discuss how Camb.ai partnered with NASCAR to become the first company to livestream a race with real-time AI dubbing.

The vision of an autonomous SOC feels unattainable amid a federated array of security tools. This session demonstrates a practical path forward, focused on outcomes. The key is not to replace tools, but to unify them with an AI-powered platform that automates detection and response to empower security teams in unprecedented ways. Through a real-world demonstration of the latest Purple AI innovations, see how to transform siloed data into the foundation for an autonomous security posture.

In this session we'll show how Kiro helps Red Teamers build the tools they need to move faster and smarter in the cloud. If you’ve ever struggled to get visibility across dozens of AWS accounts or needed to quickly generate recon scripts, Kiro can help you automate and accelerate that process. We'll go beyond prompt engineering and dive into context engineering and spec-driven development, showing how to use spec files to build a custom pentesting toolkit.

In this breakout session, discover the latest features of Amazon Quick Suite, a generative AI-powered business intelligence platform transforming organizational data workflows. Explore the newest capabilities including Quick Sight for interactive visualizations, Quick Flows for workflow creation, Quick Automate for intelligent automation, and Quick Research for comprehensive analysis.

AI agents represent the next evolution of APIs, bringing new security challenges and attack vectors. This session examines real-world adversarial threats including prompt injection, tool abuse, and agent-to-agent escalation. Learn defensive strategies using rate limiting, encrypted endpoints, and Amazon Bedrock Guardrails. The session demonstrates how to build secure-by-default agents using Infrastructure as Code, enforcing deterministic behavior and Zero Trust principles.

AWS sales teams needed to quickly absorb hundreds of new service announcements and translate them into customer-ready insights. Manually watching sessions and studying launch documents took days or weeks, limiting their ability to act on new opportunities. Using Amazon Quick, the team built a custom chat agent that delivers real-time launch intelligence and customer-specific speaking points by synthesizing public documentation and internal enablement materials.

Learn how to optimize your serverless costs and performance with Lambda Managed Instances. Sisira Narayana, Debasis Rath, and Rohan Mehta join Julian Wood to show how Lambda Managed Instances automatically manages long-running execution environments for you, allowing multiple concurrent invocations on the same instance. Discover how to use multi-concurrency to handle more requests per instance while reducing cold starts and costs.

Supernova is an AI-powered edtech platform helping Indians—especially in Tier 2 and 3 cities—build confidence in spoken English. In this video, Founder and CEO Maharishi R B shares how the company uses generative AI to deliver 24/7, human-like tutoring through its mobile app. By migrating to AWS, Supernova has improved latency by 200 milliseconds, scaled to over 1.5 million users, and accelerated development with services like Amazon Bedrock and Amazon Polly.