The discussion highlighted how traditional upskilling models are no longer sufficient in the face of rapid technological and sectoral transformations. AI is enabling personalized learning pathways, real-time talent intelligence, and more agile workforce strategies that align with evolving industry needs.
Bringing a geospatial perspective to the dialogue, the session emphasized the added value of integrating location intelligence into workforce planning. Geospatial data helps assess location risks, infrastructure availability, accessibility, cost of living, and proximity to talent hubs such as universities and technology clusters.
The combined approach of AI and geospatial intelligence transforms workforce planning from a static, reactive function into a dynamic, context-aware strategy—equipping organizations to become more resilient, adaptive, and future-ready.