The RESILIENCE project on which I'm working identifies digital twin (DT) technology, prescriptive analytics (PsA), building information modeling (BIM), and a structured On-the-Job Training (OJT) strategy as the cutting-edge enablers of a novel training paradigm, called “training-on-the-go” or “prescriptive training”, according to which training is not scheduled long before the actual performance, but only when and if needed. Thanks to the integration of predictive/prescriptive methods, knowledge management and representation techniques and decision support methodologies, it is possible to recommend “what should be done” based on context-specific data collected from the shop floor. In order to maximize the training effectiveness, a structured OJT strategy will be developed that leverages learning/forgetting curves that integrate the task complexity and worker-related factors (including their background knowledge, psycho-physical attitude, personal skills, experience with the task, experience with similar tasks, age, and gender).