Designing AI Value and Data Strategy

This unit explores how data, people, processes, and culture combine to create measurable AI value. Students learn to inventory and value data, map tasks-to-skills-to-roles, apply the AI Value Factor approach, and plan AI projects that balance decision-augmentation, trust, and limitations.

Learning Objectives

• Analyze organizational data sources, data management practices, and AI pipeline capabilities to quantify data value and identify viable data sourcing strategies
• Apply the AI Value Factor approach to map tasks to competencies and skills, estimate value at the role level, and prioritize AI opportunities using defined milestones
• Demonstrate the ability to design an AI project life cycle plan that incorporates decision-making augmentation, algorithmic considerations, output adaptation for actionability, and key project milestones
• Evaluate cultural, ethical, and trust-building factors—articulating AI limitations and aspiration—when proposing initiatives that align business identity with AI implementation