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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/workspaces-troubleshoot-slow-performance The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more. Anupama shows you how to troubleshoot slow performance issues with your Amazon WorkSpaces.

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/aws-cli-call-store-saml-credentials The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more.

Discover how the integration of APIs and generative AI transforms AWS Partner co-selling into a streamlined, data-driven growth engine. This session demonstrates practical implementations that automate deal registration, accelerate Partner-AWS alignment, and enable real-time incentive distribution. You'll learn how Partners leverage these technologies to help shorten sales cycles and improve win rates.

Getting started with your data shouldn't require hours of setup or juggling multiple tools. Discover how the latest launches for Amazon SageMaker, including one-click onboarding of existing datasets and a new serverless notebook with a built-in AI agent help you move from raw data to production-grade pipelines and applications. We'll show you how our newest announcements translates into faster time-to-value, reduced operational overhead, and the ability to scale from exploration to production.

AWS IoT SiteWise is a managed service that makes it easy to collect, store, organize, and monitor data from industrial equipment at scale to help you make better, data-driven decisions. In this video, you will learn how to implement native anomaly detection in AWS IoT SiteWise to transform your industrial equipment monitoring strategy.

Discover how you can deliver new insights to your application users with Quick Sight. Learn how Moody's Insurance Solutions uses Quick Sight to embed interactive analytics in their Intelligent Risk Platform (IRP) to unlock the power of advanced risk analytics and data-driven decision making. Hear how Quick Sight enables you to add curated analytics experiences like interactive dashboards, paginated reports, and natural language Q&A into any application through low/no-code workflows.

AWS re:Post Live approaches common questions and top of mind use cases submitted by the knowledge sharing community on repost.aws. Each week our experts from AWS dive deep into best practices and troubleshooting tips to expand your cloud knowledge, introduce you to the latest AWS technologies, and drive solutions based learning sessions to take your cloud practices to the next level.

NatWest Group is committed to delivering exceptional customer experiences through innovative technology solutions. In this session, NatWest leaders will share their journey of collaborating with AWS and Accenture to accelerate their data and AI transformation, leveraging AWS's cloud infrastructure to drive business growth, improve customer engagement, and simplify operations. This presentation is brought to you by Accenture, an AWS Partner. Learn more: More AWS events: https://go.

Chapter 3 of the Building AI Agent Harnesses with Strands Agents course. This chapter covers MCP and how it changes the way you think about equipping your agent with capabilities. MCP is a standard protocol that lets your agent connect to external tool servers the same way every time. Instead of writing a custom wrapper for each API, database, or service you want your agent to access, you point it at an MCP server and the tools become available automatically.

Cognigy, an AWS Partner, integrates a wide range of AWS services into its platform to help enterprises scale and automate customer interactions. Its low-code solution allows business users to build custom service workflows while combining rule-based automation with agentic AI for flexible and reliable experiences.

This is the second video in the Automated Reasoning checks in Amazon Bedrock Guardrails tutorial series. This video walks through the process of testing an Automated Reasoning policy using generated scenarios and manual tests. Thorough testing ensures that an Automated Reasoning policy captures the correct semantics and can translate natural language into logic for validation. Learn more: Technical documentation: https://go.aws/4mqqSqq Github code samples: https://go.

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/rds-connect-ec2-bastion-host The AWS Knowledge Center contains trusted, expert-reviewed answers to frequently asked questions across AWS services — including EC2, S3, IAM, Lambda, Bedrock, and more.