Mathematical Optimization VS Machine Learning: How to choose your AI problem-solving tool?
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How does Mathematical Optimization improve your problem resolution? Using Mathematical Optimization technologies, a tailored application solver is able to consider multiple levels of decisions to ensure a systemic operational performance. Optimizing several decision challenges simultaneously, a comprehensive solver increases profitability at a global scale, to make more while consuming less.
When Machine Learning technologies reach its limits handling highly complex business problems, Mathematical Optimization technologies take over in complementary ways to achieve the best business outcomes.
Discover more on the Forbes article!
Updated Mon, 06 Feb 2023.