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Highly sensitive workloads often rely on cryptographic proof about the code, config, and other aspects of the execution environment before unsealing code for data to be processed. In this code talk we will see examples of cryptographic attestation using AWS Nitro Enclaves, Nitro Trusted Platform Module (NitroTPM), and Amazon EC2 instance identity documents. We will also visit common scenarios where this is useful in multi-party computation setups for data analytics and generative AI.

See how WrkWrk transformed temporary recruitment using AWS serverless technology. This innovative company built a fully serverless platform using Aurora V2, Amazon RDS, Cognito, and API Gateway to handle dynamic staffing demands. Learn how AWS's support helped WrkWrk achieve a 250% increase in placements and create a scalable foundation for future AI integration. Learn more about Serverless on AWS - https://go.aws/4keZ1bB Subscribe to AWS: https://go.aws/subscribe Sign up for AWS: https://go.

Matt Garman discusses infrastructure advances that power AI innovation. He announces new AWS services, features, and chips to help customers build with AI and create AI agents that deliver value now. Learn more about AWS events: https://go.aws/events Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.

Explore how the evolving threat landscape impacts AI applications in AWS. As AI usage and app development introduces new components like models, plugins, and datasets that access sensitive data, each element presents unique risks for attackers to exploit. Discover how Palo Alto Networks helps you manage these risks throughout the AI ecosystem.

As organizations mature their generative AI strategy, more complex use cases emerge. Originally focused on unstructured data, organizations now require structured data as a source of knowledge for AI applications. This session will showcase a method for storing and accessing structured and unstructured data in tandem through an AI agent.

How does AWS achieve availability of more than 99.9999%, enabling millions of transactions per second whilst making more than 3,000 upgrades per year? Get an insider's view of how Amazon Web Services (AWS) monitors and operates the AWS Cloud. In this episode, we are joined again by Elaine Harvey, the General Manager of Reliability Services to dive into AWS's operational excellence, its sophisticated monitoring systems, and incident response procedures.

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From a proof of concept to scaling AI for top U.K. insurance brands, CDL’s journey highlights the challenges of deploying AI at scale while staying compliant, cost-effective, and trustworthy. This session covers their use of observability to track performance and risks, building guardrails for safe AI outputs, and strategies to scale without compromising cost, quality, or governance. Learn key lessons about the people and processes behind successful AI adoption.

Database migrations fail not from lack of tools, but from the cognitive burden of orchestrating them. Engineers toggle between consoles, parse cryptic logs, and chase configuration dependencies across network layers, security groups, and database-specific parameters burning hours on problems AI can solve in seconds. Amazon Q integration with AWS DMS eliminates this friction by embedding intelligence directly into your workflow.

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/ec2-billing-terminated] The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more. Suchita shows you how to identify and resolve ongoing Amazon EC2 charges after terminating instances.

Nitro Commerce helps businesses improve customer acquisition and retention by analyzing user behavior and predicting intent with AI. In this video, Shamail Tayyab, cofounder and CTO of Nitro Commerce, explains how the company turns behavioral insights into actionable signals that help marketers target customers more precisely and improve campaign performance.

Modern GenAI and Agentic workflows can run well only when the underlying Data Platform is secure, strong and compliant. Learn more about how AWS services from Hardware, Inference, Data Platform and Tools are coming together to make this journey possible for our customers. Vinay Kumar, Principal PMT-ES - AWS; - Imtiaz (Taz) Sayed, Principal Analytics SA Leader - AWS. Recorded at the 5th annual AWS AI and Data Conference 2026 on March 12, 2026 at the Lyrath Convention Centre, Kilkenny, Ireland.