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INSERT DESCRIPTION HERE Learn more about AWS events: https://go.aws/events Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4 ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally.

Customizing models often requires lengthy iteration cycles. Now with Amazon SageMaker AI, you can accelerate the model customization process from months to days. With an easy-to-use interface, you can quickly get started and customize popular models with your own data, including Amazon Nova, Llama, Qwen, DeepSeek, and GPT-OSS, with the latest customization techniques such as reinforcement learning and direct preference optimization.

Want to optimize your data pipeline orchestration on AWS? John Jackson and Kamen Sharlandjiev join Julian Wood to break down Apache Airflow deployment options on AWS. Explore the key differences between Amazon Managed Workflows for Apache Airflow (MWAA) Provisioned and Serverless modes so you can chose which model fits your workload characteristics and operational requirements. Discover how to evaluate trade-offs around scaling behavior, cost implications, and infrastructure management.

This session explores how Run:ai integrates with Amazon SageMaker HyperPod to simplify and scale large AI training workloads. SageMaker HyperPod provides robust clusters for resilient, distributed training, while Run:ai adds centralized GPU management, job scheduling, quota enforcement, and dynamic hybrid-cloud bursting. The integration allows organizations to seamlessly run, shift, and resume workloads across on-premises and cloud resources, improving GPU utilization and resilience.

Discover how Amazon OpenSearch Service is evolving beyond traditional search and analytics to power next-generation observability. We'll showcase how organizations can reduce operational costs by modernizing their observability stack using OpenTelemetry, OpenSearch, S3, and CloudWatch. We'll demonstrate building sophisticated observability solutions that combine OpenSearch's real-time analytics with AI-powered insights using Amazon Q. Learn more: More AWS events: https://go.

CloudWatch now supports individual per-resource alarming on hundreds of resources from a single alarm. Using Metrics Insights’ SQL queries, users can create an alarm that adjusts in real time to dynamic fleets of resources. The operational benefit is obvious: easier creation, less maintenance, immediate changes - in addition to exploring the operational benefit, we’ll also help explain why it can save customers some bucks on their CloudWatch bill too.

INSERT DESCRIPTION HERE Learn more about AWS events: https://go.aws/events Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4 ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally.

Volkswagen AG operates more than 100 plants worldwide — each with unique data, systems, and challenges. By standardizing on Amazon DataZone and leveraging more than 200 AWS services including Amazon EC2, Amazon S3, Amazon Redshift, Amazon QuickSight, Amazon Bedrock, and Amazon Q, the company has created a unified platform to seamlessly share data, scale solutions, and accelerate innovation.

Thrad.ai is changing the world of advertising and marketing with the help of agentic AI. Join us to learn more Thrad.ai's journey and how the AWS Prototyping team has accelerated their growth in our Agentic Prototyping Bootcamp special!

Join Khendr'a Reid, Global Data and AI Specialist Leader, and Linda O'Connor, Principal GTM Specialist for Amazon SageMaker Lakehouse, as they explore the next generation of Amazon SageMaker and its revolutionary lakehouse architecture built on Apache Iceberg. Discover how AWS is breaking down data silos and unifying data, analytics, and AI at scale to help organizations become truly data-driven.

Learn how to leverage Amazon SageMaker's training jobs with recipes to fine-tune Nova models using Direct Preference Optimization (DPO) and Supervised Fine-Tuning (SFT) techniques and seamlessly deploy them in Amazon Bedrock. This session demonstrates how to fine-tune Nova models for advanced tool-calling capabilities, enabling intelligent agents that can autonomously execute workflows by interfacing with multiple AWS services, custom APIs, and internal tools.