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AWS OnAir's Nick Betz travelled to Philadelphia for the 2025 NFL Season Kickoff to learn how AWS and the NFL team up to continuously innovate in the world of football. In this clip, Nick meets with Mackenzie Herzog from the NFL to discuss how the NFL and AWS team up every year with technology like the Digital Athlete to make the game safer for players. You can learn more about the Digital Athlete here: https://awsonair.net/Digital-Athlete Subscribe to AWS: https://go.

Amazon Stores set out to fundamentally accelerate its engineering teams through AI-native development — targeting a 3x output increase — and achieved a 4.5x median productivity gain. The breakthrough came not from tools alone, but from pairing them with new ways of working. AWS services, including Kiro, provide the foundational tools that Amazon builders rely on every day.

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/cloudformation-lambda-resource-delete The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more.

Hear why Swiggy, a leading food delivery and quick commerce platform in India, trusts AWS to fullfill all of their orders accurately, even in the busiest times of the year. 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/more Next steps: Explore on AWS in Analyst Research: https://go.

Curious about the life of a software engineer at Amazon? Get a realistic look at daily tasks from a 10-year industry veteran. Being a software engineer at Amazon is vastly different from working at smaller tech firms. In this overview, I break down exactly what the day-to-day responsibilities look like when working within a massive, complex organization.

Learn how to use the new Amazon SageMaker notebooks to explore data in SQL, write Python code for advanced analytics, and use a built-in AI agent that guides you through your data work. Learn more about Amazon SageMaker notebooks: https://go.aws/4sfQYjK Learn more about AWS events: https://go.aws/events Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.

Join AWS experts Colm and Addy for an in-depth look at the AWS European Sovereign Cloud. Explore this new, independent infrastructure's dedicated architecture, EU-based operations, operational controls coupled with governance and legal framework that powers this cloud. Learn how this cloud solution is built, operated, and secured entirely within Europe. Learn more: More AWS events: https://go.aws/3kss9CP Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.

Navigating the complex world of AI foundation models can be overwhelming. In this guide, Wanjiko discusses her top 5 general-purpose AI models, breaking down their unique strengths, use cases, and performance characteristics. From Amazon Nova's lightning-fast processing to Claude's advanced reasoning capabilities, discover how to select the perfect AI model for your specific project needs. Try Amazon Bedrock! 👉 https://go.aws/3JkdW7g 📚 Learn more: ⚡️Amazon Bedrock Pricing: https://go.

This is the first video in the Automated Reasoning checks in Amazon Bedrock Guardrails tutorial series. This video covers Automated Reasoning policy creation and explains how to give instructions to translate input documents into highly accurate Automated Reasoning policies. Learn more: Technical documentation: https://go.aws/4mqqSqq Github code samples: https://go.aws/4m0grdx Console access: https://go.aws/3H6Gj8r News Blog: https://go.aws/4ldq33p Subscribe to AWS: https://go.

In this episode, our hosts will break down the exam format, share study strategies, and guide you through designing resilient GenAI architectures. You'll learn how to build data processing pipelines for foundation models, implement vector stores for RAG systems, and apply prompt engineering strategies. The hosts will also analyze sample exam questions and discuss real-world solutions for advanced GenAI systems.

From 2,000 AWS accounts in 2020 to over 9,000 today, SAP transformed their cloud security through centralized governance and automation. Through AWS Organizations, they implemented organization-wide security policies, enforcing MFA, centralized logging, and consistent configurations across their massive multi-tenant environment.

Go behind the scenes of Amazon's internal Quick Suite deployment across multiple organizations and thousands of employees. This session covers the challenges of implementing enterprise AI at scale, including data integration complexities, orchestration layer design, and overcoming organizational silos. Learn from Amazon teams about deployment strategies, change management approaches, security considerations, and lessons learned from rolling out Quick Suite across diverse business units.