
In this session, Alexis Saussinan, Global Head of People Insights and Effectiveness at Merck Group, will explain how the company is using artificial intelligence to deliver scalable upskilling initiatives across its global workforce. Drawing on a comprehensive case study, Alexis will illustrate how AI-powered learning platforms personalise training, how predictive analytics identify critical skills gaps, and how these initiatives are integrated into strategic planning. The session will provide practical guidance for senior HR leaders on implementing and measuring the success of large-scale, AI-enabled upskilling programmes.
Leveraging AI-powered learning platforms for personalised training
Using predictive analytics to identify critical skills gaps
Scaling upskilling initiatives across a global workforce
Integrating AI upskilling with strategic workforce planning and budgeting
Overcoming change fatigue and managerial resistance
Measuring ROI and training effectiveness through people analytics
Fostering cross-department collaboration (HR, IT, and finance).
Discover methods to implement scalable, AI-driven upskilling programmes
Learn to use predictive analytics to pinpoint and address skills gaps
Understand how to integrate training initiatives into long-term workforce strategy
Gain insights on overcoming barriers such as change fatigue and resistance
Identify key metrics for evaluating the success of digital training programmes
As digital transformation accelerates, organisations face widening skills gaps that threaten competitiveness. By harnessing AI, HR can transition from traditional, one-size-fits-all training to scalable, personalised upskilling programmes. Merck Group’s approach demonstrates how embedding AI into workforce development not only streamlines training delivery but also aligns with long-term business strategy and improves overall performance.