Explore a groundbreaking approach to decision-making in complex industrial mining environments through this 45-minute seminar. Dive into the integration of machine learning and optimization techniques for managing mineral supply chains under uncertainty. Examine three key paradigm shifts: data-driven hyper-heuristics, smart lifelong learning context-aware solvers, and a distributional perspective for warm-starting. Discover how this innovative method can significantly reduce suboptimality and execution times while increasing solution robustness and net present values by up to 40%. Gain valuable insights into developing robust, reasoning, and responsible decision-support systems for industrial-scale uncertain environments, and discuss potential limitations and future research directions in this field.