As business decisions are becoming more and more complicated, Decision Analytics are becoming increasingly important and a way analytics teams can differentiate themselves from the competition. When these decisions become extremely complex and it seems the trade-offs are too numerous and intricate to work through, mathematical optimization lends itself as great tool for this job.
Mathematical optimization is a versatile tool that is easy to start using and adds huge value for any data scientist by addressing the part of a problem that is usually overlooked – the decision.
Presented by:
Jerry Yurchisin | Data Science Strategist | Gurobi
