AI Leadership Series: Preparing IT Leadership for AI

Course Objectives:

Upon completion of the Preparing IT Leadership for AI course, students will be able to:

- Define and evaluate IT strategies for different organizational sizes
- Develop strategies for AI leadership readiness
- Identify the leadership skills needed to address AI-related risks and issues
- Assess decision factors for AI implementation

Course Topics:
The Ebb and Flow of IT Intensive Innovation
- IT's Intensive Innovation Times
- The Better It Gets, the Faster It Accelerates
- AI is Today's Technological Hammer

IT Strategy Based on Organizational Size
- Small
- Medium
- Large
- AI Strategy Importance and Attributes

Preparing Yourself and Others for AI
- You First, Then Others
- Business Partners and Senior Leadership
- Example: Partners/Leaders in Local / State Government
- Example: Partners/Leaders in Healthcare

Preparing IT Leadership for Potential AI Risks and Issues
- AI-Related IT Management Issues
- AI-Related IT Data Management Issues
- AI-Related IT Project and Process Issues
- AI-Related User Community Employee Issues

IT Leadership Skills for an ARISE AI Implementation
- Align (vision, and strategic direction)
- Review (and document current state)
- Identify (cases, AI model, data, and governance)
- Solidify (skills, roadmaps, and budgets)
- Execute (pilot projects, rollout, and refresh)

AI Leadership Readiness
- 'Business of IT' Areas
- IT Leadership and Interpersonal Skills Areas

When and When Not to Implement AI
- New Technology Selection and Implementation Process
- Reasons to Upgrade or Replace Existing Software
- Reasons to Implement a New Technology

Personal and Departmental Development Plan