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Learn how to build, test, and validate custom code transformation with agentic AI. Through practical examples, we'll cover defining effective transformation rules, testing strategies to refine your agents, and validation methods to ensure reliable code conversion. This session will help architects and developers create robust transformation agents for their application modernization projects.

First agentic AI service designed to accelerate VMware workload modernization.

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.

Learn the latest in data and AI development with the next generation of Amazon SageMaker. In this session, we'll cover new innovations that are transforming how enterprises build, deploy, and scale analytics and AI. Dive deep into the features of SageMaker Unified Studio, discover the latest catalog capabilities, and see how our lakehouse architecture is breaking down silos between data, analytics, and AI.

Hear from Prabhakar Appana, SVP and Head of AWS Ecosystem at HCLTech, about their leadership in Generative AI implementation. Prabhakar discusses HC Tech's holistic approach to Generative AI, emphasizing the importance of data strategy, security, and sustainability, while sharing success stories across healthcare, banking, and insurance sectors. Listen on Spotify - https://go.aws/4jQpRGo Subscribe to AWS: https://go.aws/subscribe Sign up for AWS: https://go.

Amazon Route 53 Global Resolver is a new service providing global anycast and secure DNS resolution for on-premises, branch office, and remote clients. Learn how to enable Global Resolver for split-traffic query resolution of public internet domains and private AWS-hosted domains, optimizing for low latency based on client location. Discover security controls protecting against DNS exfiltration attacks and enhance query privacy through DNS-over-HTTPs/DNS-over-TLS protocols.

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.

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.

Discover how to build production-ready AI applications without deep AI expertise using AWS's Generative AI Application Builder. Learn how to leverage the new enhanced Chat UI with improved error handling and comprehensive feedback collection for LLM responses. See how to integrate Amazon Bedrock's on-demand models, implement RAG for better responses, and utilize Bedrock Converse APIs for improved model support.

Foundation models like NVIDIA GR00T provide powerful starting points for humanoid robotics—but customization is essential for real-world applications. Learn how to fine-tune GR00T and other robotics foundation models at scale using AWS Batch and Amazon SageMaker.

In this episode, we catch up with Mai-Lan Tomsen Bukovec, VP of Technology at AWS, as she reveals three transformative approaches to enterprise data management: aggregate, curate, and extend. Drawing from her extensive experience leading AWS data services, Mai-Lan shares how organizations can build flexible, scalable data foundations that enable both innovation and governance.

Learn more about Generative AI Customer Stories: https://go.aws/41JegC2