Operationalizing AI Value Creation

This unit guides learners from opportunity identification to actionable AI project plans by aligning business value, data, governance, roles, and infrastructure. Students will evaluate feasibility, design data portfolios and controls, and prepare project-level plans that account for stakeholder motivation, culture, and measurable outcomes.

Learning Objectives

• Analyze and prioritize AI business opportunities by applying criteria for value creation, feasibility risk, stakeholder motivation, and organizational culture to select high-impact projects.
• Apply data selection, governance, and compute-resource requirements to design a data portfolio that supports actionable automation and measurable AI outcomes.
• Demonstrate how to define roles, control mechanisms, and trust-building practices that govern AI decision-making and ensure alignment with organizational policies and ethical constraints.
• Evaluate AI product and project plans by producing a development roadmap that specifies resources, milestones, success metrics, and risk-mitigation strategies for deployment readiness.