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🤖 Agentic apps need databases that adapt — not rigid schemas that break when your LLM decides to add a field. RAG pipelines need #VectorSearch that doesn't force you into a separate data silo. Developers need tools that actually understand their #AI workflows. Amazon DocumentDB is evolving for this new era.

Learn how Fidelity Institutional (FI) developed and implemented a sophisticated Text-to-SQL generative AI solution that enables non-technical domain experts to interact with complex structured data using natural language. Dive deep into the architecture and technical implementation details of a system that handles complex database schemas, multiple table relationships, and generates complex SQL queries.

Regulated industries face the challenge of innovating with agility while addressing stringent security and compliance requirements in the cloud. In this session, learn how the Japanese government successfully implemented a centralized governance model for cloud adoption across 30 ministries and 1,700 local government, enabling over 5,000 accounts to be managed seamlessly.

Learn more about Amazon EC2 M9g Instances: https://go.aws/ec2-instance-types-m9g

Are you tired of spending hours debugging IAM permissions instead of building features? In this session, learn how IAM Policy Autopilot helps you get started quickly with creating IAM policies that you can refine as your application evolves. We'll demonstrate how this open source MCP server integrates with AI coding assistants to analyze your application code and generate valid identity-based policies in real-time.

Insurance companies face critical challenges in underwriting profitability, pricing optimization, and risk assessment due to siloed data systems and fragmented analytics tools. Cross-functional teams face challenges with manual processes and poor collaboration, hampering quick decision-making in competitive markets. AWS SageMaker Unified Studio addresses these challenges by providing an integrated platform combining data analytics, ML, and GenAI capabilities.

Learn how to streamline game development workflows using Amazon Q Developer CLI with multiple MCP servers. See how to connect Blender, Unity, and Perforce seamlessly through natural language commands. Resources: ⚡️ Amazon Q Developer CLI: https://aws.amazon.com/q/ 📝 Perforce Documentation: https://www.perforce.com/documentation 📝 Unity Documentation: https://docs.unity.com/ 📝 Blender Documentation: https://docs.blender.org/ Follow AWS Developers! 📺 Instagram: https://www.instagram.

Join this session to explore how telecommunications companies are implementing AWS generative AI services, including AWS Transform and Amazon Bedrock, to automate legacy system migrations. Learn how CSPs are modernizing Mainframe systems and VMware environments using AI-powered assessment tools, automated infrastructure-as-code generation, and intelligent legacy code transformation. AT&T will present their strategic vision and implementation approach for AI-powered Mainframe modernization.

You deleted everything in AWS and still got a bill. Walk through the step-by-step AWS cleanup checklist I share with every student and new cloud developer. We'll cover exactly where surprise charges hide after you delete resources — RDS snapshots, EBS volumes, elastic IPs, NAT gateways — plus how to set up a billing alarm so you never get caught off guard again. AWS Free Tier: https://go.aws/3QEGFaN AWS Resource Explorer: https://go.aws/4ufzQuK Follow AWS Developers! 🆇 X: https://go.

Confidential computing enables customers to protect code and data from unauthorized access during processing. This session explores AWS's innovation on confidential computing capabilities including the AWS Nitro System, AWS Nitro Enclaves, and the Nitro Trusted Platform Module. Learn how Nitro System capabilities can be used to meet evolving data protection challenges, such as confidential inferencing.

BMW Group's Design and Virtual Product Experience team built a 3D App Store on AWS that gives employees anytime, anywhere access to high-fidelity 3D car visualizations — directly from a link. Before this solution, reviewing 3D car models was cumbersome and time-consuming. By combining Amazon S3, Amazon EC2 GPU instances, and Amazon Bedrock, the team delivered a globally scalable, cloud-based XR platform that democratizes spatial computing across the BMW Group.

Language, content, and intellectual property services provider RWS is on a mission to unlock global understanding. In an evolving translation market, its customers are currently faced with creating vast amounts of content to target specific markets and segments. By working with AWS, RWS can pass on the benefits of generative AI to its customers through early access to novel tools and services.