Leveraging Machine Learning for Enhanced Employee Profiling

In this session, we explore the approach Vestas has adopted in building detailed employee profiles using Machine Learning methods, marking a significant step towards personalised HR strategies and proactive workforce strategies.
Employee segments, personas, profiles, or whatever they are called in your organisation or discipline, are used broadly and for a wide range of purposes:
 
  • IT need personas to assign onboarding, hardware, and permission models.
  • Communications need personas to design communications platforms and strategies.
Understanding the profiles of our employees is necessary for most domains in HR.

This session will explore:

  • The power of creating a common language on employee personas
  • The challenge of modelling employee personas on cross-functional data
  • The need for machine learning
  • Early outcomes.

Learning outcomes:

  • Understand the application of ML in creating sophisticated employee profiles
  • Gain insights into the strategic benefits of ML-driven HR analytics for business growth
  • Learn from the challenges encountered by Vestas and the strategies employed to overcome them.