AI Use Case Design and Governance

This unit guides learners to translate enterprise needs into prioritized AI use cases, assess data and privacy constraints, and select appropriate models and partnerships for implementation. It emphasizes risk-aware governance, global R&D considerations, and strategies for mitigating rare but high-impact events, preparing students to move from planning to implementation.

Learning Objectives

• Analyze organizational processes, stakeholder goals, and operational constraints to define and prioritize AI use cases by value, feasibility, and risk.
• Evaluate data availability, quality, provenance, and privacy/legal constraints for selected use cases and propose specific mitigation and data governance strategies.
• Apply model selection criteria—including performance, scalability, explainability, data residency, and cost—to recommend suitable model types or procurement approaches for prioritized use cases.
• Demonstrate the ability to design internal and external partnership frameworks and governance plans that address global R&D dynamics, deployment controls, and contingency strategies for low-probability, high-impact (black swan) risks.