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Join Thomson Reuters to discover how they leveraged agentic AI service to revolutionize their .NET modernization journey. In this session you will learn how they leveraged AWS Transform for .NET to modernize 5M lines of code monthly, achieving a 4x acceleration in development velocity. Learn how they reduced application transformation time from months to a single sprint while cutting operating costs by 30%.

Enterprises use Apache Kafka and Apache Flink for an increasing number of mission-critical use-cases, real-time analytics, application messaging, and machine learning. As this usage grows in size and scale, so does the criticality, scale, and cost of managing the Kafka and Flink clusters.

Looking to make your .NET development faster and easier? Join this live coding session to see how AWS Transform for .NET and Kiro can make your daily coding much smoother! We'll take you through the whole process - starting with a legacy .NET Framework application and porting it into modern .NET using AWS Transform. Then, we'll use Kiro to refactor your codebase leveraging vibe coding and spec driven development. You'll see the entire end-to-end process of modernizing .

Explore practical applications of Agentic AI through two real-world case studies. First, dive into a Hong Kong weather agent built with Amazon Nova Act, featuring conversation flow design and meteorological data integration. Watch a live demo showcasing natural language interaction for weather information retrieval and trend analysis.

Join us for an insightful discussion on developer experience in the context of AI adoption, where we explore how AI tools are fundamentally shifting developer productivity from organizational-level improvements to individual empowerment. We'll dive into the framework for measuring developer experience, examine practical changes developers are implementing with AI adoption, and discuss the holistic approach to the software development lifecycle in an AI-enabled world.

As organizations seek to accelerate their cloud migration and transformation, some find themselves in situations where they have to manage IT operations in a multicloud environment, or simply decide whether and how to adopt a multicloud strategy in the first place. Leaders must consider how operating multiple cloud environments impacts business outcomes and their ability to innovate.

Discover how to gain deep insights into workforce identity relationships and resource access patterns by visualizing AWS IAM Identity Center data using graph databases. Learn how you can explore complex identity relationships, permission inheritance and resource access across your organization; get practical approaches to ingestion of identity data, creating graph queries for security analysis, and building visualization dashboards to identify potential resource access risks.

Amazon Nova 2 Sonic is a speech-to-speech model for real-time, natural conversational AI. The model delivers industry-leading conversational quality and price. See how a Nova 2 Sonic-powered customer support voice agent is able to proactively resolve customer issues and execute actions on their behalf.

While AI agents offer powerful automation capabilities, many critical business workflows require human oversight and approval. This 20-minute lightning talk demonstrates practical patterns for integrating human-in-the-loop (HITL) controls within multi-agent AI systems. Learn how to design asynchronous agent workflows that incorporate human decision points using serverless architectures.

Security is a top priority when deploying generative AI solutions that interact with customer data. In this session, explore how Amazon.com builds testing frameworks and toolkits to secure GenAI applications. Learn proven approaches for protecting data while enabling innovation through large language models. Gain practical insights into implementing security controls for GenAI systems at scale. Learn more: AWS re:Inforce: https://go.aws/reinforce. More AWS events: https://go.

Join AWS Principal Amay Lala to discover Amazon's systematic approach to innovation - from initial concept to real-world implementation. Learn how our proven Working Backwards methodology is evolving for the GenAI era, and see how one media organization used these principles to transform their sports broadcasting experience.

Join us to learn about Apache Iceberg Version 3 (V3) and how it addresses critical challenges in modern data lakes. In this session, we'll explore how V3's variant data type, deletion vectors and row lineage capabilities help organizations reduce storage costs, accelerate data operations, and maintain comprehensive audit trails at petabyte scale. We'll also look ahead to what's coming in Apache Iceberg V4.