About the Oracle Analytics AI Assistant

The Oracle Analytics AI Assistant for Fusion Data Intelligence is a GenAl-powered conversational interface that enables business users to ask questions in natural language to explore and analyze data without needing to write complex queries or build visualizations manually.

The AI Assistant converts your natural language questions into queries against the data model and returning visualizations, summaries, or narratives as answers. Oracle Analytics AI Assistant is built on the Oracle Analytics Cloud platform.

The AI Assistant understands the subject areas, entities, and key metrics around your query to align with the specific area you're asking about using common terminology in your field of expertise. It can analyze your data using the available agents to help you find trends, recommended plans of action, and areas of improvement.

Your individual permissions determine what data you can access, so if you aren't finding the information you 're looking for, make sure you have the correct security permissions.

This section provides guidelines and recommendations for you to enable and optimize its capabilities, so users derive maximum benefit from it. This is a guide for getting started quickly with the Oracle Analytics AI Assistant. For more technical details, see Use AI Agents and the Oracle Analytics AI Assistant to Interact with Data.

When deploying the Oracle Analytics AI Assistant, an author user typically prepares data so that a consumer user can use the Oracle Analytics AI Assistant to explore the data to gain new business insights. How you use the AI Assistant depends on your role in your organization.

• Consumer Users seek business insights by issuing questions or commands in plain language. They're not expected to know anything about the underlying data structures powering the Oracle Analytics AI Assistant. They simply need to know the functional context of the workbook they're viewing to derive analytical insights in the form of fully formed visualizations.
• Author Users typically have the role of a functional administrator who has deep knowledge of the functional domain and is responsible for back-end configurations needed in data and metadata preparation. In addition, the author user defines the scope of the dataset where Oracle Analytics AI Assistant is enabled, ensuring its effective functioning for consumer users.