Leadership Intelligence in the Era of Artificial Intelligence

In this 30-minute webinar, Faculty Directors, and industry leaders Oded Netzer, Christopher Frank, and Paul Magnone explore how top decision-makers can reclaim clarity and lead effectively in an AI-driven world by developing Quantitative Intuition™ (QI).

Overview

AI is accelerating decisions—but it is not improving judgment.

According to a McKinsey study, executives spend nearly 40% of their time making decisions, yet many feel that effort is wasted. Organizations are flooded with data, dashboards, and “artificial” intelligence that often slow decision-making, fuel analysis paralysis, and quietly erode human judgment. The result? Faster answers but weaker decisions.

In this 30-minute webinar, Faculty Directors, and industry leaders Oded Netzer, Christopher Frank, and Paul Magnone explore how top decision-makers can reclaim clarity and lead effectively in an AI-driven world by developing Quantitative Intuition™ (QI)—the set of skills to seamlessly integrate data and AI, with context, managerial experience and judgment to make sound decisions under uncertainty.

Participants will walk away with:

  • Competencies to integrate data-driven and AI analysis with managerial judgment
  • Techniques to iterate with AI to master your questioning skills
  • Skills in applying context to interrogate data and AI outputs

Join us for this session, designed to inspire those who want to move beyond information overload and make decisions that drive action, alignment, and impact.

Key Takeaways

  • AI augments leaders rather than replacing them, and humans remain responsible for defining problems and making final decisions.
  • Quantitative Intuition is essential, combining strong questioning, contextual understanding, and synthesis to make decisions under uncertainty.
  • Asking better questions is more valuable than having quick answers, as the quality of inputs drives the quality of AI outputs.
  • Humans provide the local context that AI lacks, including real-time insights, business nuances, and judgment.
  • The focus should be on improving workflows and decision-making, not just adopting new AI tools.

Webinar Speakers

Oded Netzer, Arthur J. Samberg Professor of Business at Columbia Business School, is an expert in data-driven decision-making. He mainly researches business challenges and develops quantitative methods to guide decision-making under uncertainty.

Oded Netzer

Arthur J. Samberg Professor of Business, Columbia Business School

Paul Magnone, Faculty Co-Director of Columbia Business School’s Leading in a Data-Driven World: Developing Quantitative Intuition™ Executive Education program and an Adjunct Professor of Business at Columbia Business School.

Paul Magnone

Adjunct Professor of Business

Christopher Frank, Adjunct Professor of Business at Columbia University and Faculty Co-Director of Columbia Business School’s Leading in a Data-Driven World: Developing Quantitative Intuition™ Executive Education program.

Christopher Frank

Adjunct Professor of Business

Upcoming Leadership Intelligence in the Era of AI Program

Leadership Skills

$10,550

Leadership Intelligence in the Era of AINEW

4 CIBE Credits

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