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Learn how financial institutions are transforming fragmented data landscapes into unified AI-powered platforms using Amazon SageMaker Unified Studio. This session shares domain-driven architecture patterns, automated governance frameworks, and enterprise implementation lessons. We’ll dive deep into multi-account domain strategies, data governance, data-as-a-product approaches, and cross-domain consumption patterns.

AWS Backup's Multi-party approval for logically air-gapped vaults enables organizations to require multiple authorized approvers before critical backup operations can be executed. This distributed approval process helps protect against both inadvertent and malicious events by preventing any single person from making unilateral changes to backup access.

In this show we will dive deep how to augment existing real-time architectures using a practical blueprint that blends event streaming, lakehouse storage, traditional ML, and AI agents. Key takeaways include building a centralized decision engine, designing scalable agent orchestration, and integrating human oversight where required.

Discover how AWS partners are leveraging Amazon Bedrock and Kiro to revolutionize both software architecture design and DevSecOps practices. Through real-world examples, explore powerful patterns that enhance the entire development lifecycle. Learn how to use GenAI to accelerate cloud architecture design processes—generating standardized patterns, optimizing configurations, ensuring compliance, and creating documentation.

Learn how Yum! Brands built Byte by Yum!™, its own first-party AI-driven restaurant technology platform developed to enhance the customer and team member experience, using AWS infrastructure. Explore your AI use case: https://go.aws/48mhvDz Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.aws/signup Try AWS for free: https://go.aws/free Connect with an expert: https://go.aws/contact Explore more: https://go.

AWS Squatch Talks presents an engaging, gamified learning experience that transforms complex AWS concepts into accessible, interactive knowledge. In this episode, we'll dive into building scalable generative AI platforms that empower organizations to create, manage, and deploy gen AI applications responsibly.

This video shows step-by-step roadmap for migrating email infrastructure, focusing on simplifying email operations and enhancing deliverability. The onboarding process involves verifying domains, configuring authentication protocols like DKIM, SPF, and DMARC, requesting production access, and optionally securing dedicated IPs.

Amazon Redshift RG instances, powered by AWS Graviton, deliver better performance - running data warehouse and data lake workloads up to 2.4x as fast as RA3 - at 30% lower price per-vCPU. Run SQL analytics across your data warehouse and data lake from a single engine — including on open formats such as Apache Iceberg and Apache Parquet.

In this video learn strategies like cache aside, write-through, and how to implement them using Valkey on Amazon ElastiCache. We will dive into the world of in-memory databases and how they can improve your application's performance. Whether you're a seasoned developer or just getting started with AWS, this video will equip you with the knowledge to implement effective caching solutions. Read more about Database Caching on AWS with Valkey: https://builder.aws.

Feature flags have evolved beyond simple on/off switches for software releases. This code-focused session demonstrates advanced feature flagging techniques through real implementation examples and production code samples. See how Amazon leverages feature flags at scale using AWS AppConfig, with detailed code walkthroughs that showcase powerful use cases beyond basic feature releases.

Organizations struggle to customize AI models for complex tasks due to the extensive human annotation required for traditional fine-tuning approaches. Learn how Amazon Bedrock's new Reinforcement Fine Tuning (RFT) capabilities enable developers to train models using custom evaluators instead of large labeled datasets. Discover how to implement RFT with Amazon Nova and open-source models using techniques like RLVR for code generation and RLAIF for AI feedback.

Measuring the value of software development has challenged organizations for decades. This session shares insights to Amazon's approach of understanding the impact of developer experience and tooling. Learn how to apply these insights to your own team to go beyond lines of code and bring a more strategic level of thinking to your improvements to developer experience. Learn more: More AWS events: https://go.aws/3kss9CP Subscribe: More AWS videos: http://bit.