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The NBA is undergoing a digital revolution powered by AWS. This session explores how cloud computing, AI, and advanced analytics are transforming basketball—from fan engagement and personalized content to immersive viewing experiences and sophisticated game analytics. Discover how Prime Video and the NBA harness AWS to deliver cutting-edge game analysis and revolutionary viewing options.

Generative AI is transforming user experiences with real-time, context-aware applications. This session shows how to build full-stack Generative AI apps that combine modern web front ends with scalable backends with CDK. Through live demos and code, learn how to implement backend and Generative AI capabilities, CI/CD pipelines, and automated guardrails by using MCP servers and AI coding tools.

Customers already rely on WhatsApp every day—now your business can meet them there. In this session, Meta and AWS leaders share how enterprises can quickly and securely set up WhatsApp Business through AWS End User Messaging. Learn how Delhivery, a leading logistics provider in India, uses WhatsApp to deliver time-sensitive updates that improve customer experience and trust.

Clinicians spend two hours on admin for every hour of patient care. Amazon Connect Health embeds agentic AI directly into EHR workflows through a unified SDK. This session walks through the full point-of-care workflow: pre-visit patient insights from FHIR data with evidence-linked summaries, during-visit ambient documentation producing SOAP notes, ICD-10/CPT codes, and after-visit summaries in real time, and post-visit medical coding with confidence scores and edit-regenerate workflows.

In this episode of re:Tales with AWS, host Brooke Moody speaks with Mandeep Bhatia, SVP of Global Digital Product and Omnichannel Innovation at Tapestry (Coach, Kate Spade), about agentic commerce in luxury retail. Mandeep goes beyond the buzzword to explain what agentic commerce actually means — AI agents that own real customer journeys end-to-end.

Trying to eek out every ounce of performance of your LLM? Trying to speed up inference or understand what is going on inside a language model? In this session, you will learn how to profile a model on AWS purpose built accelerators and build a custom kernel to achieve better performance. Learn more: More AWS events: https://go.aws/3kss9CP Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.

In this episode, you'll explore how to secure and govern your GenAI applications. Our hosts will demonstrate Amazon Bedrock Guardrails in action. You'll observe how to implement input and output safety controls and learn defense-in-depth security architectures that protect both users and data. We'll also cover compliance requirements and responsible AI principles that build trust in production systems.

Traditional Kubernetes scaling on Amazon EKS often leads to a tradeoff between performance and cost. Reactive autoscaling based on utilization metrics can’t keep pace with dynamic workloads, resulting in wasted resources or degraded performance. This session introduces a proactive approach to resource management using workload-aware policies that distinguish between critical services and batch workloads.

Hear from Tim Somrah, VP of Information Security at Major League Soccer, about how MLS and Expel strengthen security operations on AWS. Filmed at AWS NY Summit 2026. Learn more about AWS for Startups: https://go.aws/4hViRdK 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.

Advertising technology (AdTech) companies buy, serve, and measure hundreds of billions of ads per day at single-digit millisecond latency. Explore how AWS RTB Fabric transforms real-time bidding workloads with an optimized, private network in the cloud. Industry leaders from AWS and Yieldmo share how they reduce costs, optimize development velocity, and improve performance for scaled real-time bidding workloads using AWS RTB Fabric.

Training large AI models requires significant compute resources and can be time and cost intensive. In this session, learn to optimize and accelerate your model training workloads using AWS's purpose-built infrastructure and tools. We'll dive deep into leveraging services like Amazon SageMaker HyperPod for distributed training at scale and SageMaker fully managed training jobs for cost-effective ML acceleration.

🚀 Build Multi-Channel AI Agents with AWS & Twilio | How to Build Like AWS Join us for an exciting deep dive into building production-ready multi-channel AI agents that meet customers where they are! Learn how AWS and Twilio partnered to create intelligent conversational experiences across voice, text, and email channels with persistent context and memory.