Event Overview

The AI revolution is transforming industries, reshaping leadership, and redefining the way we work. As AI continues to advance, today’s leaders must find the balance between technological potential and human-centric values that foster innovation, engagement, and sustainable success. In this exclusive webinar, Julian Birkinshaw, Dean at Ivey Business School, and Michael Raynor, a globally recognized expert in innovation and business strategy, share practical strategies for leading responsible AI adoption.

Hosted by Knowledge Consulting Group (KGC), GoLearning powered by e&, and Ivey Business School, the session blends research, real-world examples, and proven frameworks to help leaders navigate AI-driven disruption with confidence. Learn how leadership roles are evolving, how to integrate AI into talent strategies while maintaining a people-first approach, and how to apply innovation models that prepare organizations for the future.

Join us to reimagine leadership in the AI era and equip yourself with the tools to stay agile, competitive, and innovative. 

Who should attend

• Business leaders and executives navigating AI-driven transformation
• Innovation and strategy professionals integrating AI into operations
• HR and talent leaders aligning AI adoption with workforce engagement
• Digital transformation and AI specialists shaping AI strategy
• Consultants and organizational change leaders focused on responsible AI

Agenda

• Welcome and Framing the Conversation
  • Balancing AI’s opportunities with responsible leadership
  • The Gulf region’s unique role as an innovation leader
• Leading Innovation in the Age of AI: A Systems Perspective
  • The "gearing" effect of AI across individuals, organizations, and society
  • The Innovation Pathways Framework for managing AI-driven change
  • Practical steps for integrating AI with business models
• How We Work: AI’s Impact on Productivity and Engagement
  • AI as a sustaining vs. disruptive force in different industries
  • How AI improves productivity but requires new work models
  • Balancing "high-tech" efficiency with "high-touch" leadership
• Leading Responsible Innovation: A Vision for the Future
  • Setting a clear vision for AI adoption while maintaining adaptability
  • Aligning AI technologies with business models to drive engagement
  • Building trust in AI by balancing automation with human creativity
• Closing Reflections
  • Recap of key AI leadership strategies
  • Aligning AI with human-centric leadership and innovation
  • Next steps: Leveraging resources and thought leadership for ongoing learning