Amazon Web Services

In this hands-on demo, Pooja Gupta, Associate Solution Architect at AWS, showcases the powerful capabilities of Amazon Q in QuickSight. She demonstrates how to create datasets, build interactive dashboards, and leverage natural language processing for data analysis. The video covers importing data from S3, creating visualizations using both manual methods and AI-assisted prompts, and utilizing QuickSight Q topics for generating insights. Pooja also highlights the new 'stories' feature, which helps users create compelling data narratives for stakeholders. This comprehensive walkthrough provides valuable insights into using Amazon Q in QuickSight for enhanced business intelligence and decision-making.

product-information
skills-and-how-to
generative-ai
ai-ml
analytics
Show 4 more

Up Next

VideoThumbnail
15:58

Revolutionizing Business Intelligence: Generative AI Features in Amazon QuickSight

Nov 22, 2024
VideoThumbnail
2:53:33

Streamlining Patch Management: AWS Systems Manager's Comprehensive Solution for Multi-Account and Multi-Region Patching Operations

Nov 22, 2024
VideoThumbnail
1:01:07

Accelerate ML Model Delivery: Implementing End-to-End MLOps Solutions with Amazon SageMaker

Nov 22, 2024
VideoThumbnail
40:23

Set Up and Use Apache Iceberg Tables on Your Data Lake - AWS Virtual Workshop

Nov 22, 2024
VideoThumbnail
6:45

Grindr's Next-Gen Chat System: Leveraging AWS for Massive Scale and Security

Nov 22, 2024