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AI Strategy and Growth for the Modern Board: A Conversation with Dr. Lisa Palmer

AI Strategy and Growth for the Modern Board: A Conversation with Dr. Lisa Palmer

43mGeneral2024-12-04

Authors

Ashley Kennedy

Ashley Kennedy

Managing Staff Instructor at LinkedIn Learning

Course details

In this engaging interview-driven course with AI Startup CEO Lisa Palmer, we dive into the evolving role of board leadership in the age of AI. From aligning AI with business goals to fostering a culture of innovation and managing ethical challenges, this course provides actionable insights for organizations at every stage of their AI journey. Learn how to lead with AI, embrace failure, and navigate the future of decision-making in a rapidly changing landscape.

Learning objectives
Evaluate strategies for aligning AI initiatives with long-term business objectives.
Identify key leadership adaptations needed for successfully integrating AI into core operations.
Assess methods for fostering cross-functional collaboration to drive AI innovation.
Illustrate the role of resilience and iterative learning in navigating AI project failures.
Break down ethical considerations and governance practices for responsible AI.

Skills covered

Business StrategyArtificial Intelligence FoundationsArtificial Intelligence (AI)Business Analysis and StrategyLeadership and ManagementOne-Off

Concepts

0. Introduction

  • 01 - AI leadership for modern boards
  • 02 - Meet Dr. Lisa Palmer

1. The Role of Leadership in AI Strategy

  • 03 - How will board leadership evolve in the age of AI
  • 04 - How can board directors keep pace with AI's impact
  • 05 - How should organizations begin their (agentic) AI journey

2. Building a Strategic and Customer-Centered Approach

  • 06 - Why is business value creation essential for AI success
  • 07 - How do you move from isolated wins to strategic initiatives
  • 08 - Why do you need a customer-centered approach in AI projects
  • 09 - How should leaders build and nurture teams in AI projects
  • 10 - How can organizations create a healthy innovation culture
  • 11 - How do you push for AI investment when ROI isn t apparent

3. Preparing for Ethical, Organizational, and Legal Challenges

  • 12 - How do you ensure AI ethics remain relevant and adaptive
  • 13 - How can AI address messy or incomplete datasets
  • 14 - How can companies avoid disruption by tech-savvy rivals
  • 15 - What are some of the most pressing AI legal concerns
  • 16 - What are some of the more overlooked AI-related risks

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