Oracle Analytics AI agents enable users to interact with data using natural language, while incorporating the business context, terminology, and guidance that are important to each AI Agent’s purpose.
Create Oracle Analytics AI Agents introduces AI agents in Oracle Analytics Cloud and explains how they work, when to use them, and how to create and configure them.
In this course, you’ll learn how to:
- Describe what Oracle Analytics AI agents are and how they work
- Identify the four main components of an AI agent
- Determine when an AI agent is appropriate for a business or analytics use case
- Create an AI Agent in Oracle Analytics
- Use supplemental instructions to guide an agent’s behavior and responses
- Explain how knowledge documents provide additional context to an AI agent
- Identify the types of datasets we can use with an AI agent
- Configure a dataset for use within an AI agent
Why this matters
Oracle Analytics AI agents extend the conversational analytics experience by combining enterprise data with business-specific instructions and supporting knowledge.
By configuring an agent for a particular subject area or use case, authors can help users ask questions in natural language and receive responses that reflect the organization’s data, terminology, and business context.
Who should take this course?
We designed this course for Oracle Analytics Cloud authors who want to understand how AI agents can support tailored conversational AI experiences.
Access the course here: Create Oracle Analytics AI Agents (for Authors).
