Webinar
Adding Optimization to Your Data Science Analytics Toolbox
This webinar presents real-world examples of Machine Learning and optimization in action, illustrating the value it can bring to your organization.
March 26, 2025
10:00 AM - 11:30 AM PST
Webinar
Adding Optimization to Your Data Science Analytics Toolbox
This webinar presents real-world examples of Machine Learning and optimization in action, illustrating the value it can bring to your organization.
March 26, 2025
10:00 AM - 11:30 AM PST
Webinar
Adding Optimization to Your Data Science Analytics Toolbox
This webinar presents real-world examples of Machine Learning and optimization in action, illustrating the value it can bring to your organization.
March 26, 2025
10:00 AM - 11:30 AM PST
Webinar Summary
Mathematical optimization, specifically Mixed Integer Programming (MIP), is a technology that is used to solve a large variety of problems within multiple industries, including supply chain planning, electrical power generation and distribution, computational finance, sports scheduling, and many more. This powerful technology is complementary to Machine Learning and should be a part of every data scientist’s analytics toolbox. In this webinar, you will learn:
The basics of optimization and MIP
How to identify optimization problems within your organization • When to use MIP vs Artificial Intelligence (AI) when developing a prescriptive analytics solution for your business problem
How MIP can be used as a complementary technique to Machine Learning
We will present real-world examples of Machine Learning and optimization in action, illustrating the value it can bring to your organization. We will also provide you with next steps on how to get started with optimization as well as available resources.
Presented Materials
Please click here to download the presented slides.
Webinar Summary
Mathematical optimization, specifically Mixed Integer Programming (MIP), is a technology that is used to solve a large variety of problems within multiple industries, including supply chain planning, electrical power generation and distribution, computational finance, sports scheduling, and many more. This powerful technology is complementary to Machine Learning and should be a part of every data scientist’s analytics toolbox. In this webinar, you will learn:
The basics of optimization and MIP
How to identify optimization problems within your organization • When to use MIP vs Artificial Intelligence (AI) when developing a prescriptive analytics solution for your business problem
How MIP can be used as a complementary technique to Machine Learning
We will present real-world examples of Machine Learning and optimization in action, illustrating the value it can bring to your organization. We will also provide you with next steps on how to get started with optimization as well as available resources.
Presented Materials
Please click here to download the presented slides.
Webinar Summary
Mathematical optimization, specifically Mixed Integer Programming (MIP), is a technology that is used to solve a large variety of problems within multiple industries, including supply chain planning, electrical power generation and distribution, computational finance, sports scheduling, and many more. This powerful technology is complementary to Machine Learning and should be a part of every data scientist’s analytics toolbox. In this webinar, you will learn:
The basics of optimization and MIP
How to identify optimization problems within your organization • When to use MIP vs Artificial Intelligence (AI) when developing a prescriptive analytics solution for your business problem
How MIP can be used as a complementary technique to Machine Learning
We will present real-world examples of Machine Learning and optimization in action, illustrating the value it can bring to your organization. We will also provide you with next steps on how to get started with optimization as well as available resources.
Presented Materials
Please click here to download the presented slides.
Speakers
Meet Your Expert Speakers
Learn from the best in the industry.
Gwyneth Butera
Operational and Content Engineer
Dr. Gwyneth Butera has a BA magna cum laude from Colgate University in Mathematics and a PhD in Computational and Applied Mathematics from Rice University. Her thesis work explored algorithms and heuristics for solving a class of quadratic programming problems that arise in portfolio optimization. More recently, she completed an immersive course in Data Science. Dr. Butera has over twenty years of experience in optimization software. Prior to joining Gurobi Optimization, she worked as a software engineer for IBM ILOG CPLEX Optimization Studio. From 1997-2009, Dr. Butera worked as a consultant and as a technical support expert on various optimization software offerings for ILOG. In her free time, Gwyneth enjoys nature photography and volunteering for the Red Cross.
Russell Halper
Principal, End-to-End Analytics
Dr. Halper holds a PhD in Applied Mathematics from the University of Maryland. Russell is passionate about developing actionable, pragmatic analytics that align closely with business processes to generate world-class results. He has devoted his career to developing cutting-edge analytics solutions to problems in supply chain, manufacturing, and marketing.
Speakers
Meet Your Expert Speakers
Learn from the best in the industry.
Gwyneth Butera
Operational and Content Engineer
Dr. Gwyneth Butera has a BA magna cum laude from Colgate University in Mathematics and a PhD in Computational and Applied Mathematics from Rice University. Her thesis work explored algorithms and heuristics for solving a class of quadratic programming problems that arise in portfolio optimization. More recently, she completed an immersive course in Data Science. Dr. Butera has over twenty years of experience in optimization software. Prior to joining Gurobi Optimization, she worked as a software engineer for IBM ILOG CPLEX Optimization Studio. From 1997-2009, Dr. Butera worked as a consultant and as a technical support expert on various optimization software offerings for ILOG. In her free time, Gwyneth enjoys nature photography and volunteering for the Red Cross.
Russell Halper
Principal, End-to-End Analytics
Dr. Halper holds a PhD in Applied Mathematics from the University of Maryland. Russell is passionate about developing actionable, pragmatic analytics that align closely with business processes to generate world-class results. He has devoted his career to developing cutting-edge analytics solutions to problems in supply chain, manufacturing, and marketing.
Speakers
Meet Your Expert Speakers
Learn from the best in the industry.
Operational and Content Engineer
Gwyneth Butera
Dr. Gwyneth Butera has a BA magna cum laude from Colgate University in Mathematics and a PhD in Computational and Applied Mathematics from Rice University. Her thesis work explored algorithms and heuristics for solving a class of quadratic programming problems that arise in portfolio optimization. More recently, she completed an immersive course in Data Science. Dr. Butera has over twenty years of experience in optimization software. Prior to joining Gurobi Optimization, she worked as a software engineer for IBM ILOG CPLEX Optimization Studio. From 1997-2009, Dr. Butera worked as a consultant and as a technical support expert on various optimization software offerings for ILOG. In her free time, Gwyneth enjoys nature photography and volunteering for the Red Cross.
Principal, End-to-End Analytics
Russell Halper
Dr. Halper holds a PhD in Applied Mathematics from the University of Maryland. Russell is passionate about developing actionable, pragmatic analytics that align closely with business processes to generate world-class results. He has devoted his career to developing cutting-edge analytics solutions to problems in supply chain, manufacturing, and marketing.
