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Does your AWS workload need to access Azure, Databricks, or other external services? Join us to learn how outbound identity federation can enable you to securely authenticate your AWS workloads with a wide range of cloud providers, SaaS platforms and self-hosted applications..

As Health systems today are challenged by rising costs, staffing shortages, outdated IT infrastructure, and growing consumer expectations, improving access and experience for patients and caregivers remains critical. In this session, Kyndryl and AWS will demonstrate how Amazon Connect can help healthcare providers modernize contact centers, streamline workflows, and expand patient access to care.

Learn how to setup Amazon SageMaker Studio to accelerate AI model development and steamline collaboration on data science projects. This demo will cover dmoan setup, security features and customization. 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.

Join a dynamic customer panel to hear how leading organizations are accelerating real-world AI workloads using AMD powered solutions on AWS. From generative AI and large language models to recommendation systems, panelists will share firsthand experiences deploying AMD’s latest technology in production. Learn how they’ve optimized performance, reduced costs, and scaled AI across their businesses.

VP Bank is harnessing the power of AWS to improve the resilience of their banking systems.They use AWS Elastic Disaster Recovery (DRS) to protect 78 of their critical workloads and aim to scale to 500 as they grow. With AWS they have already achieved 48% cost savings. Learn more about AWS Cloud Resilience - https://go.aws/3XwXCV8 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.

Learn how Amazon S3 Metadata automatically generates rich metadata for your S3 objects in near real-time. We’ll show how S3 Metadata creates a queryable metadata layer that transforms how you discover and manage your data. Watch as we explore and filter objects based on attributes like object creation time and storage class to streamline data preparation for analytics, real-time inference, building automated storage dashboards, and more.

When Anthology, an EdTech leader, wanted to deliver insights on student performance and engagement to educational instutitions worldwide, they turned to Amazon QuickSight. By embedding Amazon QuickSight into their Illuminate offering, Anthology was able to provide their customers with interactive dashboards and reports that help educators identify the right learning experiences for their students.

Agentic AI systems require storage that delivers persistent memory, real-time decisions, and seamless multi-agent collaboration. AWS offers the most comprehensive storage portfolio to support these needs, including high-speed services like S3 Express One Zone, storage for compute intensive agent workflows using FSx for Lustre, and scalable vector storage and query with S3 Vectors. With the new MCP Server for S3, agents can query context-rich data using natural language without complex code.

Deploying applications that utilize large language models (LLMs) at enterprise scale presents unique challenges beyond traditional MLOps. In this session, aimed at developers and data scientists, learn how Allianz built a comprehensive AIOps framework for bringing AI-powered solutions to production. Discover how they leveraged Amazon Bedrock, Amazon SageMaker, and open-source solutions to create an ecosystem serving a wide range of user groups.

FlexiLoans is a digital lending platform helping India’s small entrepreneurs, traders, and retailers access fast, paperless, and collateral-free working capital. In this video, CEO and Co-founder Deepak Jain shares how FlexiLoans uses Amazon Web Services (AWS) to power its platform, manage over 10 million website visits annually, and serve MSMEs across more than 3,000 Indian towns.

Join us as we explore how Amazon Q and the Well-Architected Framework can help streamline AWS infrastructure development. We'll walk through creating CloudFormation templates, reviewing them for best practices, and implementing improvements using AI-assisted guidance. Through practical demonstrations, we'll show how these tools can help catch common architectural issues and suggest improvements.

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.