Gurobi Unveils Insightful Annual Mathematical Optimization Report
Gurobi's Annual State of Mathematical Optimization Report
Beaverton, Ore. – Gurobi Optimization, LLC, a pioneer in decision intelligence technology, has proudly released its annual State of Mathematical Optimization Report. This important document highlights how various organizations are capitalizing on the use of mathematical optimization and the current trends influencing the sector.
Insight from the Report
The report draws on survey responses from 440 commercial users of mathematical optimization. The results showcase a rising enthusiasm for optimization methods, with a remarkable 93% of participants noting that mathematical optimization is either "gaining traction" or "remaining steady" among decision-makers within their organizations.
Key Findings of the Report
Several vital insights emerged from the report:
- Rising Demand for Optimization Expertise: An overwhelming 98% of respondents indicated that their operations research teams are either increasing or maintaining their current size, reflecting a 5% growth from the previous year.
- Missions Criticality: A significant 84% reported that their mathematical optimization work is essential to their organization’s success, signifying its vital role.
- Integration with Machine Learning: An impressive 81% of participants combine machine learning with optimization techniques for at least one project, mirroring last year’s data.
- Diverse Industry Applications: Common use cases reported include planning (55%), operational applications (45%), production planning (42%), and supply chain planning (41%), showcasing the versatile nature of optimization.
- Cross-Functional Collaboration: 55% of respondents frequently collaborate with data scientists, highlighting the increasing integration between data science and optimization efforts.
Expert Insights
Duke Perrucci, the CEO of Gurobi, expressed, "The findings from this year’s survey underscore the sustained growth and significance of mathematical optimization in various sectors. As more businesses recognize its ability to tackle their strategic and operational challenges, we're eager to see its application broaden further."
Accessing the Report
For those interested in diving deeper into the findings, the State of Mathematical Optimization report is readily accessible for download on the Gurobi website, serving as a valuable resource for professionals across industries.
About Gurobi Optimization
Gurobi’s decision intelligence technology empowers customers to make optimal business decisions swiftly. Whether it’s through workforce planning, portfolio optimization, or supply chain management, Gurobi helps identify the best possible solutions from countless options.
Recognized as a leader in the field, Gurobi ensures an easy-to-integrate, full-featured software experience, backed by exemplary customer service, which is reflected in a remarkable 98% customer satisfaction rate.
Since its inception in 2008, Gurobi has expanded its reach globally with operations in the Americas, Europe, and Asia. It caters to a diverse range of clients including notable names like SAP, Air France, and the National Football League. For further inquiries, Gurobi can be contacted through its website or via phone at +1 713 871 9341.
Frequently Asked Questions
What is the main focus of the Gurobi report?
The Gurobi report sheds light on the trends and growth of mathematical optimization across various industries.
How many organizations were surveyed for the report?
A total of 440 commercial users participated in the survey that informed the report.
What percentage of organizations find optimization critical?
A significant 84% of respondents consider their optimization efforts to be mission-critical to their organizations.
Are machine learning and optimization integrated?
Yes, 81% of respondents reported using machine learning alongside mathematical optimization in their projects.
How can I access the report?
The report can be downloaded for free from the Gurobi website for anyone interested in the findings.
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