Mathematical Optimization: What You Need to Know
Mathematical optimization (MO) is an extremely powerful AI technology that enables companies to dramatically improve their 
resource utilization, operational efficiency, and overall profitability. MO technologies such as linear programming (LP) and mixed-integer programming (MIP) have been applied in a variety of business areas, empowering companies across various industries to rapidly solve their complex real-world problems, make better business decisions that improve operational efficiency, and achieve significant time and cost savings and revenue growth.
In this whitepaper, we will provide a general overview of MO, share some success stories of companies that have achieved tremendous operational and bottom-line benefits using MO technologies, explain the relationship between MO and artificial intelligence (AI), and discuss the importance of combining MO with machine learning (ML).