AWS Atlas

Learn to build serverless full-stack applications from the ground up using Kiro CLI. This code-focused session is designed for builders new to AI coding assistants. Use natural language prompts to scaffold and build a complete serverless backend, create the frontend, and automate development workflows. See seamless console-to-IDE transitions and real-time architectural visualization as you build. Experience enhanced debugging and observability capabilities throughout the development process.

Discover how AWS innovates on behalf of public sector customers with purpose-built infrastructure and AI. Learn about the journey from AWS GovCloud to the new Secret-West Region, a landmark AI and supercomputing investment for the U.S. government, and the upcoming European Sovereign Cloud. See how the U.S. Navy deployed generative AI at Impact Level 5, and how healthcare organizations are transforming patient care with AI.

Learn to build enterprise-scale AI systems using the new Agentic AI Factory framework, a comprehensive toolkit with pre-built agent blueprints and proven integration patterns. This deep-dive session demonstrates how to orchestrate multiple AI agents with AWS Strands Agents and Amazon Bedrock, implement secure communications via A2A and MCP protocols, and leverage the framework's knowledge management systems.

Emerging trends, ranging from Open Table Formats (OTF) to agentic infrastructure, are rapidly changing how humans and applications interact with analytics to drive mission-critical business decisions. Join Mai-Lan Tomsen Bukovec, VP of AWS Technology, to explore emerging trends, the evolution of analytics engines and applications, and how to future-proof your data foundation for the rapidly changing landscape of analytics at scale.

AWS storage services have evolved into the data foundation powering virtually any modern workload from massive data lakes to cutting-edge generative AI applications. This session unveils breakthrough innovations like S3 Tables for analytics optimization, S3 Vectors for AI/ML acceleration, and seamless SAN migration pathways that eliminate traditional infrastructure constraints.

AI adoption marks the next generation of cloud innovation and it’s reshaping the attack surface. Shadow AI projects, new control planes, and sensitive data pipelines are converging with traditional cloud misconfigurations and identity gaps. This session shows how Wiz helps organizations secure both cloud and AI by surfacing risks in context from S3 pipelines to SageMaker models and unifying ASM and AI-SPM to give teams the visibility, context, and confidence to act.

Many organizations choose AWS as their primary cloud, building their core network, security, and operations around it—while still needing to connect to other Cloud Service Providers (CSPs). In this session, discover AWS Direct Connect Multicloud Connectivity, a new capability that lets you leverage AWS as your unified control point for cross-cloud connectivity.

The rise of AI coding and autonomous agents is transforming how developers work - enhancing productivity, improving flow state, and making development more intuitive. While simple code completion tools have existed for years, today's agentic capabilities act as collaborative partners throughout the entire development lifecycle.

Prepare to revolutionize your data infrastructure for the AI era with Amazon EMR, AWS Glue, and Amazon Athena. This session will guide you through leveraging these powerful AWS services to construct robust, scalable data architectures that empower AI solutions at scale. Gain insights into effective architectural strategies for data processing to build AI applications, optimizing for cost-efficiency and security.

In this video, we dive into Amazon S3 Vectors, a powerful new capability that enables you to store, search, and retrieve vector embeddings directly within S3. We demonstrate how S3 Vectors eliminates the need for separate vector databases, allowing you to manage embeddings alongside your original data. In this video we will walk through two practical examples of implementing semantic search using S3 Vectors and integration with Amazon Bedrock.

As generative and agentic AI transform business models, leaders must architect new operating models that bridge technology capabilities with business value. This advanced session reveals proven approaches for scaling AI from experiments to enterprise-wide value creation. Learn to shape AI-driven business strategies, design advanced decision systems, and build governance frameworks that accelerate adoption while managing risk.

AI agents have made financial institutions more productive, efficient, and secure. But a more autonomous financial system—defined by innovations like inter-agent payments, real-time underwriting, hyper-personalized customer service, and customized lending offers—represents the industry’s next frontier. This session explores how we will get there...and beyond.