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Optimization is important when presented with limited options and a mandate to construct the best possible solution under a variety of constraints. The synthesis of algorithms and advanced math are revolutionary.

Most business problems faced by a modern enterprise can be represented in terms of optimization. Companies usually seek to maximize desirable traits like profit and customer satisfaction or minimize unwanted traits like material wastage and churn. Achieving these objectives is non-trivial, especially when confronting real life constraints imposed on their operation. The ability to build complex, optimization-based solutions for solving critical business problems is essential to competing in today’s data driven era.

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