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AI and agents are disrupting SaaS, but this session will show you how to turn disruption into growth. In just five steps, we’ll demonstrate how to build an enterprise-grade agentic workflow solution that executes an advanced, regulated process and can be deployed to thousands of B2B clients.

What if you could build anything you imagine in New Zealand? This keynote is an inspiring exploration of New Zealand's digital transformation journey and its emergence as a global innovation hub. This keynote session brings together industry leaders and pioneering organisations to showcase how Kiwi ingenuity is reshaping the technological landscape. Country Manager, AWS New Zealand Manuel Bohnet highlights how local organisations are leveraging AWS infrastructure to drive global innovation.

Feeling isolated in your cloud development? 🌍 AWS User Groups connect developers worldwide - from beginners to experts. Get AWS credits, exclusive swag, and real solutions from peers who've been there. Find your tribe! #AWSUserGroups #AWSDevelopers #CloudComputing #AWSCommunity #Developers

Learn how Amazon Q Developer CLI can transform your development workflow by automating Jira tickets, GitHub actions, and code generation. See live demos of Q Developer integrating with your development tools and enhancing productivity. Learn more about Amazon Q CLI 👉 https://go.aws/4gzrMzr Resources: 📝 AWS CDK MCP: https://awslabs.github.io/mcp/servers/cdk-mcp-server/ ⚡️ Q Developer CLI: https://docs.aws.amazon.com/amazonq/latest/qdeveloper-ug/command-line.html 🖥️ Jira MCP: https://github.

Discover how Amazon measures and improves developer experience at enterprise scale in this interview with Jim Haughwout, VP of Software Builder Experience at Amazon. Drawing from Amazon's retail business expertise, Jim reveals how the "cost to serve" metric transforms developer productivity measurement by focusing on system-level efficiency rather than individual performance.

Want to modernize your monolithic applications but unsure where to start? Event-driven architecture (EDA) offers a powerful approach to decomposing complex systems into small, decoupled services that can scale independently. In this session, learn about common design trade-offs for distributed systems and how to navigate them with design patterns, illustrated by real-world examples, learn how to apply integration patterns in complex use cases. Learn more: More AWS events: https://go.

In this episode, we’re unpacking the remarkable cultural transformation of Guardian Life, a 165-year old insurance company that’s embracing startup thinking to drive innovation. Hear from Erin Culek, Head of Financial Protection and Retirement Solutions at Guardian, as she discusses how combining AI solutions with customer-centric innovation has dramatically improved the company’s service delivery, reducing four-week processes to near-instant results.

Dive deep into how Novartis architected their regulated NextGen clinical trial data platform using AWS services including Amazon S3, Databricks on AWS, Amazon Sagemaker, and AWS RDS. Explore their AWS-based clinical landscape, implementation of data lake patterns, and legacy system modernization approach.

Learn how Amazon CloudWatch helps you go from data to decisions faster, simpler and more autonomously — from streamlined data ingestion and analytics workflows to new AIOps capabilities. We’ll showcase the latest innovations across CloudWatch that make ingesting and analyzing data easier at any scale. We’ll show how you can use agentic observability systems that make your operations faster and smarter.

This video shows you how to build an MCP server for Retrieval Augmented Generation (RAG) Knowledge Base, and use the MCP server in your AI Agent. In this this video you will write functions to perform Bedrock Knowledge Base retrieval (semantic retrieval) and re-ranking. Then you will encapsulate them as tools in an MCP server that you will use in an AI Agent.

The convergence of FinOps principles and generative AI is providing organizations new ways they better manage cloud spending and investment strategises. This session will discuss how organizations are successfully deploying generative AI to automate anomaly detection, enhance resource allocation, and convert complex cloud financial data into actionable insights.

Dive into the "AI multiverse" with AWS Executives in Residence Jake Burns and Tom Soderstrom as they explore why some organizations are seeing massive productivity gains with agentic AI while others struggle to see value. Drawing from their extensive enterprise experience, they reveal how treating AI agents like human team members - with clear specifications, iterative feedback, and proper context - can unlock unprecedented productivity gains that far exceed the reported 30% improvements.