Uploaded September 2026 | Updated September 2026, 2 weeks ago
Want to explore your data, generate charts, and uncover insights without writing code? Learn how AI assistants index a dataset, answer natural-language questions, generate visualizations, and refine analysis through follow-up prompts.
This demo shows how to prepare a dataset for AI Assistant, open the assistant from an analytics workbook, and ask questions about sales, profit margins, and trends using everyday language. The assistant turns those questions into visualizations and additional insights so analysts can move from a question to an actionable view of the data more quickly.
You will also see how to refine charts with follow-up questions, adjust filters and date ranges, and save useful visualizations to a watch list or canvas for later review. These capabilities help business analysts explore data conversationally while keeping the analysis focused and reusable.
Chapters:
0:00 Explore datasets and import a sample
2:30 Enable data indexing and insights
3:55 Review AI-generated insights
5:40 Ask natural-language questions
7:40 Refine visualizations and filters
9:30 Save and revisit visualizations
AI Assistant Documentation: docs.oracle.com/en/cloud/paas/analytics-cloud/acabi/oracle-analytics-ai-assistants-features.html
If you would like help using AI Assistant in OAC, please contact codeinnovate_us_grp@oracle.com
Subscribe to Oracle Developers for more developer-focused cloud demos and technical guidance.
#codeinnovate #AIAssistants #OracleAnalytics #DataVisualization #NaturalLanguageAnalytics
Want to explore your data, generate charts, and uncover insights without writing code? Learn how AI assistants index a dataset, answer natural-language questions, generate visualizations, and refine analysis through follow-up prompts.
This demo shows how to prepare a dataset for AI Assistant, open the assistant from an analytics workbook, and ask questions about sales, profit margins, and trends using everyday language. The assistant turns those questions into visualizations and additional insights so analysts can move from a question to an actionable view of the data more quickly.
You will also see how to refine charts with follow-up questions, adjust filters and date ranges, and save useful visualizations to a watch list or canvas for later review. These capabilities help business analysts explore data conversationally while keeping the analysis focused and reusable.
Chapters:
0:00 Explore datasets and import a sample
2:30 Enable data indexing and insights
3:55 Review AI-generated insights
5:40 Ask natural-language questions
7:40 Refine visualizations and filters
9:30 Save and revisit visualizations
AI Assistant Documentation: docs.oracle.com/en/cloud/paas/analytics-cloud/acabi/oracle-analytics-ai-assistants-features.html
If you would like help using AI Assistant in OAC, please contact codeinnovate_us_grp@oracle.com
Subscribe to Oracle Developers for more developer-focused cloud demos and technical guidance.
#codeinnovate #AIAssistants #OracleAnalytics #DataVisualization #NaturalLanguageAnalytics
