Miq Creative

AI for Boards and Executives

This one-day course provides board members and executives with the strategic knowledge needed to effectively oversee and govern AI initiatives. Participants will gain insights into AI's transformative role in business, common deployment challenges, and how to lead successful AI adoption within their organizations.

Target audience

This course is designed for board members and senior decision-makers who are responsible for overseeing the strategic direction of AI within their organizations.

Content overview

Participants will delve into real-world case studies of successful AI adoption and learn to avoid common pitfalls in AI deployment, while gaining practical insights into developing roadmaps that ensure maximum impact. The course also equips leaders with tools to assess their organization’s AI readiness and identify critical gaps. Key topics include AI governance, covering ethical considerations, data protection, and regulatory compliance, as well as strategies for managing organizational change to align AI initiatives with internal policies and company culture, facilitating large-scale adoption.

Learning goals

Participants will learn to:

  • Understand AI’s Strategic Importance
    Gain a comprehensive understanding of AI as a transformative force and identify the critical role leadership plays in fostering the success of AI initiatives.
  • Avoid Common AI Pitfalls
    Identify the most common pitfalls in AI deployment and learn how to develop a clear roadmap to maximize the effectiveness and scalability of AI initiatives.
  • Assess Organizational AI Readiness
    Understand frameworks to assess AI readiness, identify skill gaps, and understand the necessary steps to prepare organizations for AI implementation.
  • Understand key principles of AI governance
    Including ethical considerations, data protection requirements, and navigating the upcoming AI regulation (EU/CH)
  • Lead organizational change for AI adoption
    Align AI projects with internal policies and company culture to drive successful AI adoption at scale.