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Agentic AI is no longer hype — it’s the next battleground for growth. Winning means the ability to create autonomous, goal-oriented systems and wield data effectively. Companies that execute will outpace the competition; those that don’t will be left behind explaining why they hesitated ... if they’re around at all.

Join us for an incredible customer story featuring Resolve AI, the groundbreaking startup that's revolutionizing production incident management with AI! 🚀 Discover how Resolve AI scaled their autonomous production engineer on AWS Bedrock and Anthropic Claude. Spiros Xanthos shares their journey of reducing mean time to resolution (MTTR) for on-call engineers through intelligent automation that seamlessly integrates with AWS services like CloudWatch, RDS, CloudTrail, and EKS.

Before Amazon Connect, TUI managed more than 85 customer service applications worldwide. In this video, learn how consolidating systems into one platform helped streamline workflows, empower frontline advisors, and improve performance at scale. See how AWS is helping TUI deliver better travel experiences. 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.

Autodesk is on a mission to empower everyone, everywhere to create solutions to challenges big and small. In this Tiny Mic Q&A, Pat Hughes, who leads resilience initiatives at Autodesk, shares how AWS supports their Trust Organization's mission across security, privacy, trusted AI, and resilience.

Introducing new capabilities in Amazon Bedrock Guardrails that help customers implement responsible AI at enterprise scale. Amazon Bedrock Guardrails provides integrated safety, privacy, and truthfulness safeguards that work across multiple foundation models, both on and beyond Amazon Bedrock.

Discover how Volkswagen Group, delivering 9.0 million vehicles annually across 115 global facilities, ensures brand consistency while scaling global marketing operations. Learn how VW transformed their marketing pipeline through two innovations: custom-finetuned image generation models creating on-brand visual content at scale, and pioneering work with Amazon Nova to automatically evaluate marketing assets against brand guidelines.

In Episode 3 of this 6-part series, we explore how the NFL Next Gen Stats team uses machine learning to create advanced statistics. Discover how the team decides when to use ML versus rule-based approaches, how they use Amazon SageMaker to test and develop their models, and how they know when their models are ready to be deployed. Discover how AWS powers the NFL: https://go.aws/nfl Subscribe to AWS: https://go.aws/subscribe Create a free AWS account: https://go.

Discover how AI agents are revolutionizing enterprise-scale code modernization initiatives. This session demonstrates how to accelerate your modernization journey through agentic AI-driven code transformations. You'll learn practical strategies for defining custom code transformations, setting up transformation campaigns, managing multi-repository migrations, and measuring success.

Size is a factor of complexity. JPMorganChase (JPMC), a leading global financial services firm offering banking, investment, asset management, and payment solutions, is a large AWS customer with thousands of accounts across multiple AWS organizations, and is subject to strong security expectations from both their customers and their regulators.

This presentation outlines the new features in ElastiCache 8.0. Learn more at - http://go.aws/3TNqIgs 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.aws/contact Next steps: Explore on AWS in Analyst Research: https://go.aws/reports Discover, deploy, and manage software that runs on AWS: https://go.aws/marketplace Join the AWS Partner Network: https://go.

Discover the customer-centric innovation framework that powers Amazon and AWS. In this livestream, we dive deep into the Working Backwards methodologya proven approach used by AWS PACE teams to solve real customer problems through rapid prototyping and validated solutions. Learn how to shift from good intentions to concrete actions by focusing on what truly matters: your customer's challenges and how to solve them.

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