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Building an AI-Powered Organization

This program is crucial for leaders aiming to transform their organizations by infusing analytics and AI into their operations. It offers a unique combination of a real-world case studies and practical frameworks, helping participants understand both the strategic and tactical aspects of AI integration. The focus on improving the success rate of AI projects and applying learned concepts to actual business use-cases sets this program apart, providing leaders with actionable insights and tools to drive their organizations' AI-driven transformation.

The program also focuses on how to develop fair, responsible, and ethical AI systems. It provides a deep understanding of the principles of responsible and ethical AI, applied through real-world case studies and practical tools. By focusing on actionable insights and reflective practice, the program empowers leaders to design and implement ethical AI decision-making systems, setting it apart as a vital resource for navigating the complex landscape of AI ethics and regulations.

Please note that in order to register for this program, you must first complete Queen’s  Intro to AI and Generative AI Program or equivalent. For more information, please contact us.

In this program you will learn to:

  • Understand both the strategic and tactical aspects of implementing AI initiatives

  • Iteratively improve analytics and AI initiatives

  • Apply a framework to increase the success rate of AI and analytics projects

  • Develop principles for ideating, evaluating, and deploying analytics and AI opportunities

  • Apply learned concepts to real-world use-cases from your own organization

  • Gain a comprehensive understanding of responsible and ethical AI principles

  • Utilize specific tools for thinking through the design of ethical AI systems

  • Apply ethical principles to real-world case studies based on actual data

  • Develop strategies for implementing and maintaining ethical AI practices in your organization

Skills / Knowledge

  • Artificial Intelligence
  • Business Analytics
  • Strategy
  • Decision-making
  • Ethics