Mathematical Optimization + Machine Learning = Your Perfect AI Tech Team

“Mathematical Optimization and Machine Learning: Your Perfect AI Tech Team” – a Forrester Opportunity Snapshot commissioned by Gurobi Optimization – provides valuable insights on how mathematical optimization can be used on its own or in concert with machine learning to solve business problems.

In this custom study – conducted by Forrester Consulting – of U.S. managers who are responsible for or influence their organization’s data science or execution strategy, you will learn:

  • How companies today are using mathematical optimization to solve complex problems, optimize operational processes, and make critical, data-driven business decisions.
  • All about the business benefits that companies have realized as a result of using mathematical optimization.
  • How companies are using machine learning to make accurate, data-driven predictions.




Mathematical Optimization technologies are powerful, fast and easy to use.


Machine learning enables you to generate predictions, optimization empowers you to make decisions.


Mathematical optimization can be used to improve the accuracy of machine learning-based predictions.


Data Scientists can build and train interpretable models for classification and prediction problems.


Why Should You Use Mathematical Optimization?

In this video, Gurobi CEO and Co-founder Ed Rothberg explains how mixed-integer programming (MIP) combines expressiveness and robustness to produce high-quality, reliable solutions.