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Report: State of Mathematical Optimization in Data Science 2024

Discover the latest trends shaping the data science field and explore the increasingly influential role of mathematical optimization.

Resource > Report

Report: State of Mathematical Optimization 2024

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

Resource > Whitepaper

The Next Step for Enterprises: Decision Intelligence

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

Resource > Whitepaper

Combining Predictive and Prescriptive Analytics

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

Resource > Whitepaper

Optimize Your Business Today, While Preparing for a Quantum Future

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

Resource > Report

Go Beyond Machine Learning and Leverage Other AI Approaches.

Machine learning does not always provide optimal results. Data and analytics leaders should go beyond machine learning and leverage additional AI...

Resource > Whitepaper

A Need for Speed: Why Optimization Solver Speed Matters

Make fast, confident decisions at the speed of business.

Resource > Report

State of Optimization in Data Science Report 2022

To explore how data scientists are using mathematical optimization today, Gurobi Optimization surveyed current data practitioners, independent...

Resource > Report

Forrester Financial Services Optimization

Financial services analysts must make sense of mountains of data—so they can predict what’s likely to happen next and make precise, strategic...

Resource > Report

Cost Savings & Business Benefits for Gurobi Customers

Gurobi commissioned a Total Economic Impact (TEI) study from Forrester Consulting examining the potential return on investment (ROI) by deploying the...

Resource > Whitepaper

Mathematical Optimization vs. Heuristics

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

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