Statistics and artificial intelligence are not merely technical tools, but cognitive paradigms capable of modeling uncertainty and generating new forms of knowledge. Through predictive models, probabilistic risk analysis and machine learning techniques, we investigate complex systems in engineering, finance and medicine, while intertwining these methods with psychology, philosophy of work and music. I believe that true innovation emerges from the encounter between mathematical formalization and humanistic sensitivity: not only to optimize processes, but to understand how algorithms and data are reshaping our experience of reality.