Dive deep into Amazon Q with Q topic creation, topic enhancement along with Generative BI capabilities. Detailed walk through of Amazon Q topic creation, adding datasets, enhancing topics, refining topic depending on feedback along with Generative BI capabilities (authoring visuals using natural language, executive summaries and data stories)
Technical level: 300
Pre-requisites: Basic knowledge of QuickSight and Amazon Q
Questions on this topic can be asked in our community using the tag #qls-QTopic here: https://community.amazonquicksight.co...
Resources:
Join our QuickSight Community: https://community.amazonquicksight.com/
Learn more about Amazon Q: https://aws.amazon.com/q/?nc2=h_ql_pr...
Amazon Q in QuickSight pricing: https://aws.amazon.com/quicksight/pri...
Chapters:
00:00 Session and speaker introduction
00:58 Agenda overview
01:15 What is Amazon Q in QuickSight?
01:42 What is a Q topic?
02:33 Creating a Q topic
04:00 Inside of a Q topic: Summary
04:47 Inside of a Q topic: Data
06:35 Inside of a Q topic: User activity
07:39 Inside of a Q topic: Suggested questions
08:35 Enhancing a Q topic: Include/exclude fields
09:15 Enhancing a Q topic: Add field synonyms
09:59 Enhancing a Q topic: Add value synonyms
11:01 Enhancing a Q topic: Add aggregation settings
12:16 Enhancing a Q topic: Add semantic info
13:07 Enhancing a Q topic: Add a calculated field
13:52 Enhancing a Q topic: Add a filter
16:35 Enhancing a Q topic: Add a named entity
17:35 Adding datasets to a Q topic
18:13 Configuring a time basis
19:00 Adding a custom message
20:12 Control AI-generated suggestions
21:00 Review user activity and mark as verified
22:45 Demo: Creating the topic
24:40 Demo: Enhancing the Q topic
33:30 Demo: Adding datasets to a Q topic
34:06 Demo: Control AI-generated suggestions
34:24 Demo: Review user activity and mark as verified