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Ever dreamed about turning your ideas into reality with the help of AI? Tune in to discover how we use multiple models to get from words to 3D-printed object!

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Sport has a unique ability to forge deep and emotional audience connections. From thrilling last-minute goals to tense tie-breaks, OtherLevels is combining this passion with behavioral information and generative AI to create meaningful, precisely targeted fan experiences. Providing access to generative AI expertise and tools, the AWS Builder Studio helped OtherLevels go from concept to articulated solution.

Join us to explore how Cornell University is reshaping higher education by building an AI platform to transform how teachers guide students to success and administrators operate. Cornell’s AI innovation Lab evaluates and implements 20+ AI use cases each semester using a “minimum lovable product” approach. We’ll showcase SandboxAI, a secure campus-wide platform built on AWS serverless architecture and integrated with Amazon Bedrock.

Transformer-based foundation models are revolutionizing payment systems by providing deep contextual understanding of sequential transaction data. In this session, NVIDIA and AWS experts explain how large-scale tabular foundation models are trained and deployed to detect fraud in real time, personalize customer experiences, and interpret complex transaction patterns.

In this talk, we explore how to design resilient and scalable data architectures on AWS by going beyond traditional relational databases. We’ll walk through real-world scenarios and dive into the strengths, trade-offs, and ideal use cases for AWS services like DynamoDB, Redshift, OpenSearch, Keyspaces, and more.

詳細について、動画の関連ナレッジセンター記事をご参照ください：https://repost.aws/ja/knowledge-center/transfer-aws-account Sadakata さんは、AWS アカウントの所有権を別のエンティティに譲渡する方法をご紹介します。 The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more. Subscribe to AWS: https://go.aws/subscribe Sign up for AWS: https://go.aws/signup AWS free tier: https://go.aws/free Explore more: https://go.aws/more Contact AWS: https://go.

The ability to respond quickly and accurately to incidents is more critical than ever. The AWS Well-Architected Framework’s best practice recommends developing automated incident response playbooks for anticipated security events. In this session, you will learn how to implement best practices using AWS services to preserve forensic evidence, isolate affected workloads, and automate response steps in Linux environments.

Part 1 - Near Real-time Analytics Pipeline: Learn how to build production-grade streaming analytics using AWS's modern data lake stack. See how to combine Amazon Kinesis for real-time ingestion, Amazon S3 Tables with Apache Iceberg, and Amazon QuickSight for powerful clickstream analytics. Perfect for data engineers seeking to build serverless analytics at scale.

When anomalies strike, milliseconds matter. You can’t afford for data to arrive too late. This episode demonstrates anomaly detection using streaming data architectures, featuring a live pipeline and expert guest. We show you why integrating streaming analytics with Agentic AI matters: it creates autonomous systems that detect and respond instantly without human intervention.

Learn how to use S3 Metadata to automatically track and discover data across all your S3 objects. S3 Metadata now support two complementary tables that allow you to discover your datasets quickly and track changes to your bucket. We’ll demonstrate how this fully managed Apache Iceberg solution works with your current S3 buckets to provide queryable metadata tables without custom code.

For more details on this topic, visit the AWS Knowledge Center on AWS re:Post and read the full article associated with this video: [https://repost.aws/knowledge-center/workspaces-disconnect-reconnect] The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more. Rashid shows you how to troubleshoot frequent disconnections and reconnections when using the Amazon Workspaces client.