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Discover advanced strategies for implementing Apache Iceberg on AWS, focusing on Amazon S3 Tables and integration of Iceberg Rest Catalog with the lakehouse in Amazon SageMaker. We'll cover performance optimization techniques for Amazon Athena and Amazon Redshift queries, real-time processing using Apache Spark, and integration with Amazon EMR, AWS Glue, and Trino. Explore practical implementations of zero-ETL, change data capture (CDC) patterns, and medallion architecture.

Two weeks after you deploy, you need to make a change and you're trying to recall the steps or find the agent session you used to ship it. Manual deploys, CLI commands from memory, agent tokens spent on something a file could handle. I replaced all of that with one workflow file and a git push. CI/CD from scratch, built incrementally on a real app.

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Explore the cutting edge of AI with Strands Agents—autonomous systems that evolve and learn continuously. We'll demonstrate advanced agents that can identify knowledge gaps, self-modify reasoning strategies, and dynamically build tools. These systems learn from interactions, improving decision-making without human intervention while communicating through multiple protocols and real-time, bi-directional streaming.

Building AI agents starts with understanding the fundamentals. In this episode, Morgan and Raf break down what agents are, how frameworks like Strands work under the hood, and what separates a model from a harness from a full agent. Watch live demos including building a first agent, wiring up tools, and spinning up an MCP server — all focused on understanding the "why" before the "how.

Meet Amazon Nova 2 Sonic, a speech-to-speech model for real-time, natural conversational AI. The model delivers industry-leading conversation quality, price, and best-in-class speech understanding. Nova 2 Sonic builds on the capabilities introduced in the original Nova Sonic model with new features including expanded language support (Portuguese, Hindi), polyglot voices, and turn-taking controllability to allow developers to set low, medium, or high pause sensitivity.

Join hosts MJ Zulueta and Tamara Gagliardi as they explore AI-DLC with guest Titi Ogundeji, who reveals how this transformative approach positions AI as a central collaborator throughout the entire software development lifecycle. Discover how AI-DLC differs from traditional SDLC methodologies and learn practical implementation strategies that can get your team started in just one day.

As AI agents transform the workplace, organizations must adapt their structures and methodologies to harness new opportunities. The probabilistic nature of AI requires continuous iteration and intelligent oversight, creating new ways of working across business functions. To thrive, organizations must combine clear capability assessment with agile planning while leveraging their unique domain expertise and data assets.

Amazon Quick Automate, a capability of Amazon Quick, transforms the way enterprises create and maintain complex automations at scale. Users can build sophisticated automations using just natural language instructions or existing documentation. Specialized AI agents collaborate to execute automations, handling everything from UI interactions to application integrations.

Unlock AI agent potential with this advanced session on scaling tools using Amazon Bedrock AgentCore Gateway. Learn to build and manage secure, production-ready agent tool environments. We'll cover multi-tenant architecture, deployment strategies, and integration patterns for agentic tools. Explore zero-code MCP tool creation with intelligent tool discovery. Gain insights on security controls, monitoring, and performance optimization for enterprise-scale agent tool ecosystems.

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Amazon Aurora is a fully managed database built for the cloud, providing unparalleled high performance and availability at global scale for PostgreSQL, MySQL, and DSQL. Aurora has 5x the throughput of MySQL and 3x of PostgreSQL with full PostgreSQL and MySQL compatibility. Aurora also offers DSQL, the fastest distributed SQL database that is PostgreSQL-compatible. Aurora is designed for up to 99.999% multi-Region availability.