An executive guide to navigating the AI landscape and applying the right technology to your most critical decisions.

Generative AI (genAI) and optimization are converging faster than ever, reshaping how organizations understand problems, compute solutions, and take action.

Download this free ebook to explore how you can start leveraging the power of mathematical optimization for your organization.

Get more solving power with MIP and MINLP speed improvements, PDHG with GPU acceleration, local nonlinear optimization, and Kubernetes autoscaling.

Learn how organizations are putting optimization to work—with insights into industry adoption, common use cases, and the role of generative AI.

Open-source solvers can be great for getting started with optimization, but there are some key things to consider before making your decision.

Explore the latest trends in mathematical optimization with insights into industry adoption, professional growth, and common use cases.

Today’s data scientists play a critical role in shaping data-driven strategies that guide organizations to success. But as their field continues to evolve, data science professionals must ensure they have the right tools and approaches to tackle increasingly complex problems.

Leverage enhanced nonlinear solving capabilities, easily monitor memory consumption, and solve more efficiently with distributed computing.

By adding prescriptive analytics to your data analytics toolbox, you can go beyond predictions—to optimized decisions.

With decision intelligence technology, you can achieve quantum outcomes, without the wait.

With decision intelligence technology, you can optimize real-time business decision-making and execution.

Experience global nonlinear solving, speed enhancements, dynamic distributed tuning, and enterprise features.

Our experienced, PhD-level specialists are passionate about helping you succeed with optimization.

Make fast, confident decisions at the speed of business.

To explore how data scientists are using mathematical optimization today, Gurobi Optimization surveyed current data practitioners, independent consultants working on data science projects, and data science/analytics leaders.

Nobody knows your business like you do. You have an understanding of the key drivers of your operations, an awareness of the challenges and opportunities present in your business landscape, and a clear idea of what you need to do to reach your business goals.

In this management paper, we reveal the five essential ingredients that your company must have in order to achieve success with mathematical optimization

Mathematical optimization enables you to efficiently target the right person, with the right offer, through the right channel, at the right time – and ultimately drive increased sales and ROI on your marketing campaigns.

Mathematical optimization has been used for more than half a century by leading oil, gas, and petrochemical enterprises in a wide variety of off-the-shelf and custom-built applications to address a whole host of business problems including batch production planning and scheduling, product portfolio allocation, multi-period blending, network design, sales and operations planning, and multi-modal transportation planning.

The world’s oldest industry, agriculture, is currently undergoing a profound transformation, which is changing the way that agribusiness enterprises do business.

We all depend on consumer packaged goods (CPG) companies to deliver, and – in order to deliver for us – CPG companies depend on mathematical optimization.

Optimize collateral allocation with mathematical optimization to automatically meet regulatory requirements, reduce risk, and improve operational efficiency. This solution brief shows how financial institutions can replace manual processes with data-driven, optimal decisions that enhance transparency, compliance, and overall financial performance.

Mathematical optimization can help manufacturers of MTO products balance the complex tradeoff between project costs and times, maximize the utilization of their resources, and manage their end-to-end supply chain operations – so that they can consistently deliver products to customers and profits to shareholders.

Mathematical optimization empowers companies employing the make to stock approach to utilize their demand forecasts to fuel data-driven, optimal planning and decision making.

Download the Electric Power Industry Solution Sheet to learn how mathematical optimization technologies can help electric power companies handle the challenges, complexity, and changes in their industry landscape today and in the future.

Discover how mathematical optimization can empower telecom companies and regulators to make data-driven, optimal decisions on how to manage their operational networks and supply chains and utilize their resources – so that they can satisfy demand, drive revenue growth, and profit from the opportunities of the 5G era.

With mathematical optimization, healthcare providers can ensure the timely resolution of healthcare issues for patients, improve resource utilization and employee satisfaction, and reduce operating costs – so that they safeguard the health of society as well as the sustainability of the healthcare system.

Mathematical optimization is used by leading financial services companies today to optimize many different customer-facing and back-office functions.

To keep supply and demand in balance and deliver products and services to customers in the most efficient and profitable manner possible, companies today need to leverage the most powerful data-driven, analytics-based technologies – and, without a doubt, mathematical optimization is one of those technologies.

You have many choices when it comes to solvers. But if you’re not using the best solver, you’re leaving business value on the table.

With Gurobi, 7 out of 10 leading enterprises make fast, confident, unbiased decisions every day.

In this Release eBook, you will learn about new the new capabilities within Gurobi 9.5, including enterprise features, product enhancements, and an even faster compute engine—with impressive performance improvements across all supported problem types.

In this Release Sheet, you will learn about the significant speed improvements and new features, which give customers across numerous industries (including financial services, oil & gas, and chemicals) the capability to use mathematical optimization to generate high-quality solutions to a broader array of business problems than ever before.

In this Release Sheet, you will learn about the breakthrough new capabilities for the Gurobi Optimizer, major new features for the Gurobi Compute Server, and notable performance improvements across linear programming (LP), mixed-integer programming (MIP), and mixed-integer quadratic programming (MIQP) problem types.

A mathematical programming solver can give you the power to tackle your complex, real-world business problems and make optimal decisions that boost your company’s efficiency and profitability.

Your supply chain network forms the foundation that your business is built upon. Designing and deploying a robust supply chain network will position your company for growth, while failing to do so can put your business on shaky ground.

While both methods aim to provide solutions to complex real-world business problems, they differ fundamentally in their techniques and results.

In this whitepaper, we will provide a general overview of MO, share some success stories of companies that have achieved tremendous operational and bottom-line benefits using MO technologies, explain the relationship between MO and artificial intelligence (AI), and discuss the importance of combining MO with machine learning (ML).

Alongside machine learning and visualization, mathematical optimization is becoming essential for today’s data scientists.

This inaugural edition of the State of Mathematical Optimization Report showcases the importance and impact of mathematical optimization in the business world today.

When deciding on how to deploy a mathematical optimization solver in your company, you must make a critical choice about which type of deployment is best for your business.