Monte Carlo Simulation is a computational algorithm that uses repeated random sampling to obtain numerical results. In the context of business, it helps in understanding the impact of risk and uncertainty in forecasting models and decision-making. It is named after the Monte Carlo Casino in Monaco, reflecting the element of chance and randomness.