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Are you looking to migrate your VMware on-premises environment to AWS and seeking how other IT leaders completed their migration? This session brings together migration trailblazers who’ve been there. Hear firsthand how different global organizations accelerated their cloud journeys, from planning to execution. Speakers share the trusted tools, strategies, and lessons that streamlined their transitions, helping you get insights to guide your own migration.

Amazon WorkSpaces Core is managed virtual desktop infrastructure designed to work with third-party VDI solutions. Amazon WorkSpaces Core supports a variety of third-party VDI solutions, allowing you to take advantage of the security and scalability of the AWS Cloud, while continuing to use your familiar VDI management console and toolset.

Optimal operational practice defines how to handle inevitable incidents and recover quickly. What about the aftermath? How do we ensure that the true root cause is tracked down and that effective preventive actions are planned for implementation? How do we turn every incident into an organization-wide learning opportunity? How do the shared responsibility model and third-party software vendors come into play?

Amazon Nova foundation models (FMs) deliver frontier intelligence and industry-leading price performance. In this video, Mark Chatterton, CEO of inGenious AI, shares how Amazon Nova helps them deliver 90% faster, with a 93% improvement in quality and an 88% reduction in cost—resulting in a 15-point increase in NPS. Learn more about Amazon Nova Foundation Models - http://go.aws/4nC2qE6 Subscribe to AWS: https://go.aws/subscribe Sign up for AWS: https://go.aws/signup AWS free tier: https://go.

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/quicksight-cross-account-s3 The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more. Shiyu shows you how to set up cross-account access from QuickSight to an S3 bucket in another account.

Keeping track of the order of events in distributed systems is one of the most fundamental and important problems in computer science. In 2023, we improved the Amazon Time Sync Service to microsecond-level clock accuracy so we, and our customers, can use wall-clock time in applications including databases, AI/ML, financial services, broadcast/media, telecommunications, and more to improve both the performance and resiliency of our systems and applications.

Life sciences organizations are transforming healthcare data analysis using Amazon Web Services (AWS). By converting real-world data (RWD) into real-world evidence (RWE) through AWS Clean Rooms and the Real-World Data Insights Generating Agent, companies can make faster, more informed decisions. Learn how partnerships with companies like Datavant are enabling companies to streamline their data acquisition, analysis, and collaboration processes.

Thomson Reuters, the world's leading provider of AI-powered technology for legal, tax, and accounting professionals, partnered with AWS to execute one of the industry's most ambitious application modernization programs. Facing the challenge of transforming legacy systems while maintaining business continuity across critical platforms serving millions of knowledge workers globally, Thomson Reuters needed a scalable, repeatable approach to modernization.

This session demonstrates how to leverage Amazon CloudWatch's comprehensive observability capabilities for both traditional applications and generative AI workloads. Customers building generative AI-powered workloads face challenges in understanding end-user outcomes, AI performance, health, accuracy, and quality issues at scale.

Iberdrola leverages AWS to deploy Claude 4 AI agents that enhance operational efficiency through compressed decision cycles. The implementation focuses on three use cases demonstrating the design of domain-specific agents with comprehensive telemetry and safe scalability. Their approach transforms experimental prompts into reliable services through robust governance that balances innovation with risk management. Performance metrics directly connect agent activities to business outcomes.

If your team is spending 20–30% of its development resources on Lambda runtime upgrades, there's a better way. In this video, we walk through how AWS Transform custom uses an agentic AI approach to automate runtime modernization — from a single function all the way to hundreds across your organization.

One moment you're experimenting with AI agents on AWS, and suddenly you're $2000 in the hole with your CEO asking questions. Whether you're building chatbots, shopping assistants, or multi-agent workflows, understanding your costs before deployment is critical. In this video, you'll see techniques for estimating and monitoring costs for AI agents built with Amazon Bedrock AgentCore. Learn how to use native AWS tools to understand what you're actually paying for—beyond just input/output tokens.