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
15:41

Simplifying Graph Queries with Amazon Neptune and LangChain: Harnessing AI for Intuitive Data Exploration

Nov 22, 2024
VideoThumbnail
58:49

AWS Clean Rooms ML and Differential Privacy: Revolutionizing Secure Data Collaboration

Nov 22, 2024
VideoThumbnail
18:11

Building Intelligent Chatbots: Integrating Amazon Lex with Bedrock Knowledge Bases for Enhanced Customer Experiences

Nov 22, 2024
VideoThumbnail
21:56

The State of Generative AI: Unlocking Trillion-Dollar Business Value Through Responsible Implementation and Workflow Reimagination

Nov 22, 2024
VideoThumbnail
1:19:03

AWS Summit Los Angeles 2024: Unleashing Generative AI's Potential - Insights from Matt Wood and Industry Leaders

Nov 22, 2024