When technology begins to master the very skills that once defined human expertise, how do we stay valuable? Drawing from lessons in elite chess, this reflection explores how AI first replaces old advantages, then creates new ones through augmentation. The future will not belong to those who compete against machines, but to those who learn how to think, decide, and lead with them.

The EMBA reminded me that if I stop learning, I stop leading. It was not about earning another title but rediscovering curiosity. Balancing work and study was tough, yet it awakened something in me. I learned to think slower but decide faster, to listen more, and to lead with humility. Transformation starts within — when you stop reacting from habit and start leading with awareness.

Forecasting in hospitality isn’t one-size-fits-all. Some patterns are steady, others volatile. Poisson regression works when variance equals the mean, fitting stable demand. But when variability grows—driven by campaigns, weekends, or events—the Negative Binomial model adapts better. It captures both expected bookings and uncertainty, helping hotels plan rates, labor, and inventory more realistically. Forecasting isn’t about perfection—it’s about preparation and anticipating

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