Use AI agents in Oracle Analytics Cloud to analyze data with business context, enabling more accurate insights through natural language queries and contextual responses. See how these capabilities support deeper analysis and visualization workflows by exploring the resources linked below.
This demo shows how AI agents in Oracle Analytics Cloud enhance data exploration by combining natural language interaction with business context. AI agents extend the capabilities of the AI assistant by applying predefined instructions and domain-specific knowledge, allowing analysis to align more closely with organizational needs. Within a workbook, the assistant panel provides access to these agents, where questions can be asked in plain language and responses are enriched with contextual understanding drawn from both datasets and supporting documents.
The demo highlights how AI agents generate detailed answers and visualizations that help compare metrics, identify patterns, and evaluate operational factors. Visual outputs can be refined, customized, and incorporated into ongoing analysis, supporting more flexible and iterative workflows. AI agents also maintain consistency by working from the same underlying dataset across interactions, ensuring reliable results.
In addition to workbook integration, AI agents can be accessed through a standalone interface, offering a dedicated environment for deeper exploration. This unified experience enables efficient analysis across different entry points while maintaining context awareness. Overall, AI agents in Oracle Analytics Cloud support more informed decision-making by simplifying complex analysis and delivering insights that reflect real business conditions.
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