Optimization is a very important tool in business decisions, but there's a huge difference in outcomes if the business environment deviates from the assumptions used to optimize the strategy. In this webinar we will show the difference between deterministic and stochastic optimization, and how we can develop much more robust strategies by accounting for uncertainties in the models. Stochastic optimization helps integrate both risk analysis and optimization into a single process, generating a decision strategy that is both optimized and robust in face of an uncertain future. We will demonstrate how to perform Portfolio Allocation under a context of uncertainty using stochastic optimization, and compare the resulting decision strategy with the traditional deterministic optimization.