The gender pay gap remains a persistent issue globally, with organizations seeking effective ways to address and eliminate disparities. By leveraging data-driven insights, predictive modeling, and unbiased algorithms, organizations can implement evidence-based strategies to achieve greater pay equity.

In this presentation you will learn:

• What key variables and factors should be considered in the data analysis process to identify gender pay disparities?
• How can machine learning models help organizations identify potential areas of improvement in their pay equity initiatives over time?
• How can machine learning be integrated into the development and monitoring of organizational policies aimed at achieving greater pay equity?