Shares case studies and best practices for applying AI in AWS environments.

Covers AI-driven approaches to security and compliance in the AWS cloud.

Vector search is a fundamental technology accompanying modern AI solutions such as agents. In this session, we’ll dive into how vector search works and how it solves real-world use cases for AWS customers. We’ll also discuss the challenges of implementing vector search at scale, and the mechanisms that OpenSearch provides to handle them.

See how Dataiku's Universal AI Platform seamlessly integrates with AWS services including Amazon Bedrock and SageMaker while eliminating infrastructure complexity. Explore how their no-, low-, and full-code capabilities enable organizations to build sophisticated AI agents without requiring deep cloud expertise.

Are you ready to thrive as a cloud solutions architect and have a meaningful impact on your organization and your career? This session covers: Core skills to succeed as a solutions architect; How to embrace ambiguity and solve complex technical and business problems; Designing effective cloud solutions that deliver value to customers and teams. Learn what it takes to grow in this exciting and rewarding career path.

How can AI deliver answers you can trust? This session introduces Retrieval-Augmented Generation (RAG) and its applications in research assistance, customer support, compliance, and policy Q&A. You’ll learn: How RAG works in simple terms; Why it’s essential for businesses today; How to deploy it in the cloud with AWS; A short demo and architecture overview for practical insights.

As organizations increasingly adopt modern data stacks, the combination of dbt and AWS Analytics services emerged as a powerful pairing for analytics engineering at scale. This session will explore proven strategies and hard-learned lessons for optimizing this technology stack to use dbt-athena, dbt-redshift, and dbt-glue to deliver reliable, performant data transformations. We will also cover case studies, best practices, and modern lakehouse scenarios with Apache Iceberg and Amazon S3 Tables.

See how AI is shaping developer tools for the next generation. AWS Kiro provides a powerful general purpose IDE great for a wide variety of programming languages and tasks. Pairing Kiro with the dbt MCP Server makes this even more powerful by providing access to dbt specific functionality, context and agents. In addition to this, interact with an external agent deployed in Amazon Bedrock AgentCore.

How AI can help maintain compliance and resilience in cloud security on AWS.

Discussion on predicting security threats in AWS cloud environments using AI insights.

Strategies for preventing breaches in AWS workloads through smarter automation and AI.

Real-time protective measures for AWS workloads using AI-driven approaches.

This demonstration showcases how conversational AI can create tangible objects through an innovative AWS-powered workflow. Using Amazon Bedrock, Nova Pro, and SageMaker, the system transforms user conversations into personalized 3D-printed keychains. The live demonstration illustrates how businesses can combine generative AI and manufacturing to create unique, personalized customer experiences.

We kick off the evening in style with a warm welcome and lots of great insights from our very special guest AWS Chief Evangelist Jeff Barr on how AI is redefining the boundaries of software development and inspiring new possibilities in engineering.