Enable BI for everyone with Amazon QuickSight Q
summary
Amazon QuickSight Q uses machine learning and a knowledge layer to translate natural language into an SQL‑like intent representation and return visuals instantly, demonstrated by answering six to eight follow‑ups in minutes and surfacing a KPI of 113.64% year‑over‑year growth. Authors create topics with semantic types, named entities and default aggregations while readers get charts they can tweak; the demo shows United Healthcare at ~30% and Aetna ~20% share, provides a feedback loop for missed metrics, and supports embedding and six sample topics.
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chapters (12)
- 0:00Start
- 0:47Introduction
- 5:13Query Understanding
- 7:37Feedback Loop Experience
- 11:42Guided Questions
- 12:41Executive Dashboard
- 22:44Steps To Build a Topic
- 23:17Topic Summary Page
- 29:55Verified Answers
- 32:36Sample Topics
- 34:20Resources
- 35:06Community Page
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