Data science, machine learning, artificial intelligence, and quantum computing have been the subject of much publicity in recent years. While quantum computing is still more in a developmental phase, the other three are already used extensively in industry and other operations. Meanwhile, mathematical programming, a technology that started more than 70 years ago on early computers, is quietly at work all around us, touching our lives every day. 

Because mathematical programming remains behind the scenes and less publicly visible, a false impression can emerge that it is a separate technology that competes with these other, more well-known technologies, or that it has even been made obsolete by them. This is indeed a misconception, as evidenced by the steady increase in its use over the last few decades across a growing number of industries.  

In this webinar hosted by Gurobi’s Dr. Ed Klotz, Senior Mathematical Optimization Specialist, and Jerry Yurchisin, Senior Data Science Strategist, they explore: 

• The complementary relationship between data science, AI, machine learning, and mathematical programming 

• How data science and machine learning can enhance mathematical programming models 

• How mathematical programming skills can position you for the quantum future