Mathematical optimization is a subset of artificial intelligence and a type of prescriptive analytics. It determines ways in which business processes should evolve or be modified, providing implementable solutions with known cost and/or benefit.
What are some of the most common use cases for mathematical optimization across industries? How can this type of prescriptive analytics be applied to lower costs, reduce carbon emissions and build more resilient supply chains?
This guide is ideal if you:
- Are curious about the different application areas for mathematical optimization
- Want ballpark estimates of value and benefits achieved through optimization
- Want examples where optimization is used in combination with other types of AI techniques, such as machine learning