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The pace of change in technology and the cloud demands human-centered leadership, grounded in intention and inclusion. Today’s leaders must deliver progress at speed while earning trust and creating cultures where both people and ideas can thrive in the future of work. This session brings together women driving transformation in the cloud to share how intentional leadership requires listening deeply, fostering confidence, and navigating uncertainty.

See how easy it is to get up and running with Aurora DSQL without provisioning any database infrastructure. Experience Aurora DSQL multi-Region strong consistency in action as we demonstrate bi-directional replication with writes to both Regions. See how Aurora DSQL’s optimistic concurrency control detects and responds to data collisions for you, even across regions. Get started with Amazon Aurora DSQL here https://go.

Get a behind-the-scenes peek at how Amazon MGM Studios leverages AWS to optimize film and TV production workflows, reduce costs, and even lower their carbon footprint. Discover how the studio modernizes legacy workflows across the content lifecycle, from live cloud production with 40+ cameras to an innovative "Media to Cloud from Anywhere" solution using a modified electric Rivian vehicle, solar-powered trailer, and mobile internet to upload camera files directly to Amazon S3.

From storing media content to machine learning training data, Netflix relies on Amazon S3 to support a wide range of use cases. As data grows exponentially, organizations need tools to understand and optimize their storage footprint. S3 Storage Lens provides organization-wide visibility into storage usage and activity, enabling companies to optimize costs, improve performance, and strengthen data protection.

This session explores advanced observability techniques for AWS Step Functions. You'll learn effective patterns combining metrics, tracing, and composite alarms to gain comprehensive insights into your workflow executions. Drawing from real-world enterprise experiences, we'll share practical approaches that have proven effective in maintaining reliability at scale. Learn more: More AWS events: https://go.aws/3kss9CP Subscribe: More AWS videos: http://bit.

Join Rory Richardson, Director of Go-To-Market for Amazon Q Developer, as she speaks with Jeetu Mirchandani, leader of the Applied AI team for Amazon Stores, to explore how Amazon is transforming its operations through generative AI, reimagining decades-old processes. Discover how Amazon is applying generative AI to revolutionize everything from drone delivery systems to fulfillment center operations. Learn how Amazon is dramatically accelerating development cycles from months to days.

Just Eat Takeaway.com (JET) uses Amazon Web Services (AWS) and generative artificial intelligence (AI) to test new ideas quickly. It has access to high-performing foundational models, including Amazon Nova, through Amazon Bedrock. Here, JET’s Director of Engineering James Osborn talks about the benefits of being able to experiment at scale using AWS infrastructure and generative AI solutions. Learn more about how AWS is helping its European customers innovate: http://go.

London Stock Exchange Group (LSEG) processes over 220 billion market data updates daily across 575+ global exchanges, forming the backbone of global financial markets. Learn how LSEG built their Matrix Signals Platform—a serverless architecture that detects patterns and anomalies across billions of messages.

Discover how Natera, a leader in cell-free DNA testing, is transforming healthcare and genomics by securely scaling data access and AI innovation with Amazon SageMaker. In this video, Mirko Buholzer, VP of Software Engineering at Natera, shares how the company modernized its data strategy to meet the needs of fast-growing research, clinical, and engineering teams.

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Join Nate Dehmuth (Vice President of AI and Services at Coalfire) and Saptarshi Banerjee (AWS Senior Solutions Architect) to explore building secure, autonomous AI agents with reliable security and privacy controls. Through a real-world case study of support ticket processing agents, this session addresses key challenges including inconsistent processing, inappropriate tool usage, and security violations like PII exposure.

The agentic shift is reshaping how teams build software—and AWS Autonomous Coding Agents are designed to help developers move faster, not work harder. These agents assist with structured tasks like scaffolding, test generation, and documentation, freeing up engineers to focus on design and intent. In this session, we’ll go beyond the launch and explore what it means to build agent-native workflows within existing teams.