Board Leadership in the Age of AI

Board Leadership in the Age of AI

54mGeneral2024-10-15

Authors

Dr. Lisa Palmer

Dr. Lisa Palmer

Course details

Dive into the world of AI leadership and organizational transformation in this dynamic, comprehensive course. Dr. Lisa Palmer shows you how to develop a solid foundation for integrating AI into business strategies to enhance decision-making and drive value. Explore themes around fostering an innovation culture that embraces failure and iterative learning. Learn about the significance of data in AI's success and the imperative governance and ethical considerations necessary for responsible deployment. This course also covers the role of a chief AI officer and the key organizational adaptations to become an AI-ready business. Whether you’re an aspiring leader, a business executive, a manager, or just keen on leveraging AI in organizational contexts, this course equips you with the skills required to spearhead AI initiatives successfully.

Learning objectives
Align AI initiatives with organizational goals to enhance efficiency and drive innovation.
Create and enforce robust AI governance frameworks.
Invest in the necessary structural and cultural adaptations required for successful AI integration.
Identify and mitigate potential risks associated with AI deployments, ensuring alignment with organizational ethics and values.
Develop strategic foresight for AI investment, focusing on effective resource allocation and long-term sustainability.
Apply best practices for data management to ensure the accuracy, reliability, and applicability of AI technologies in driving business value.

Skills covered

Artificial Intelligence for BusinessBusiness Analysis and StrategyOne-Off

Concepts

Introduction

  • The role of the executive board in AI transformation

AI Leadership Blueprint - Foundation, Themes, and Governance

  • AI and business value
  • AI in decision-making
  • AI demands innovation culture
  • Embracing failure and iterative learning
  • Data's role in AI success
  • AI governance and ethical considerations

Building an AI-Ready Organization

  • Chief AI officer
  • Organizational adaptations

Navigating AI Risks and Opportunities

  • Resourcing AI initiatives
  • Avoiding competitive threats
  • AI and risk management
  • AI investment strategies

Conclusion

  • Closing insights - Leading into the AI future
40,000 Toman