“Using mathematical optimization to solve the tail assignment problem brings large savings on a yearly basis.”
Solene RichardData Science and Operational Research Team Leader, Air France KLM
Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.
Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.
Other cookies are those that are being identified and have not been classified into any category as yet.
As a data scientist, your curiosity, diligence, and creativity drive you to extract immense value from your data and models. But what if you could generate optimized decision recommendations, based on your predicted future—to directly influencing business decision-making? With Gurobi, you can.
Explore these specially curated content pieces.
Discover how a chatbot can make modeling easier with instant answers to optimization questions about Gurobi.
Learn MoreAlthough mathematical optimization can be a force multiplier for machine learning and data science, there is a general lack of awareness and quite a few misconceptions around what it is and what it can do.
Learn MoreDiscover benchmark results from Gurobi’s recent tests of the NVIDIA Grace CPU, which show improved performance and efficiency.
Learn MoreA Gurobi evaluation lays the groundwork for a successful Gurobi deployment.
Learn MoreLearn how you can streamline your software development lifecycle and increase operational efficiency with Gurobi.
Learn MoreThe Nextmv Gurobi integration accelerates how you run, test, and deploy decision models running Gurobi with Nexmv’s DecisionOps platform.
Learn MoreGurobi Days India took place in Delhi on August 7 - 8, 2024. We hope you were able to join us and enjoyed the event.
Learn MoreJoin us for our Gurobi Days Digital experience on June 25- 26, 2024!
Learn MoreWe believe optimization has the power to make the world a better place. So we’ve created some innovative, open-source tools that help get optimization into more people’s hands—especially those without prior knowledge of optimization and mathematical modeling.
“We’re aiming to connect the world of data science with the world of optimization. With Gurobi, you can take your machine learning ‘black box’ that’s generating your predictions and plug it directly into your optimization model—enabling you to connect your forecasting with optimization.”
Dr. Tobias Achterberg, Vice President of Research and Development, Gurobi Optimization
With Gurobi Machine Learning—an open-source Python project to embed trained machine learning models directly into Gurobi—data scientists can more easily tap into the power of mathematical optimization.
With Gurobi Machine Learning—an open-source Python project to embed trained machine learning models directly into Gurobi—data scientists can more easily tap into the power of mathematical optimization.
Did you know Gurobi has a hub with resources curated just for you? Visit gurobi.com/sds to access free learning tools, informative webinars recordings, and even an exclusive optimization game, where you can compete in a private group against other SDS listeners.
Don’t miss out on this opportunity to enhance your optimization skills and connect with your fellow data scientists!
Prescriptive analytics tools like mathematical optimization help you make decisions based on your real-world business goals (“objectives”) and limitations (“constraints.”) This can be especially useful when you’re facing a business problem with multiple, conflicting goals (such as cutting spending while increasing production) and multiple constraints (such as time, distance, product availability).
Learn more about prescriptive analytics in our article, “What is Prescriptive Analytics?”
GUROBI NEWSLETTER
Latest news and releases