AGENTIC ANALYTICS FOR BUSINESS
An introduction to agentic analytics for business applications. Includes an overview of text data and approaches for making text data useful for artificial intelligence (AI)-assisted analytics. Also, includes the related topics of business context and AI governance.
Prerequisites & course information
Requisites: GEN BUS 657 or concurrent enrollment, or GEN BUS 888 prior to Fall 2025 Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2026 Learning Outcomes: 1. Retrieve, assemble, and clean text data for use in artificial intelligence (AI)-assisted analytics applications. Audience: Graduate 2. Use text representation approaches, including business and semantic modeling. Audience: Graduate 3. Use and audit agentic analytics tools to generate business insights responsibly. Audience: Graduate 4. Explain and experiment with text generation using artificial intelligence (AI). Audience: Graduate Learning Outcomes: 1. Retrieve, assemble, and clean text data for use in artificial intelligence (AI)-assisted analytics applications. Audience: Graduate 2. Use text representation approaches, including business and semantic modeling. Audience: Graduate 3. Use and audit agentic analytics tools to generate business insights responsibly. Audience: Graduate 4. Explain and experiment with text generation using artificial intelligence (AI). Audience: Graduate
Sources
- Course catalogue ↗2026-2027