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4 Key Advantages of Deploying Your Mathematical Optimization Solver on a Dedicated Server

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. Explore the advantages of deploying on one or more dedicated servers (on your company’s private cloud or in-house system).

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4 Key Advantages of Using Mathematical Optimization Instead of Heuristics

When trying to decide how to tackle a complex business problem, companies must make a critical choice about which algorithmic approach to use: heuristics or mathematical optimization. In this management paper, we highlight the four key advantages of using mathematical optimization over heuristics.

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4 Reasons Why Data Scientists Should Add Mathematical Optimization to Their Analytics Toolbox

mathematical optimization is a powerful AI technology that should be included in every data scientist’s analytics toolbox. Read this new management paper to find out why.

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5 Essential Ingredients for Mathematical Optimization Success

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Chapter 2 - What is Mathematical Optimization

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Chapter 3 - Where do you see the opportunity to integrate Machine Learning and Mathematical Optimization?

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Chapter 4 - How can Machine Learning and Mathematical Optimization help with decisions?

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Chapter 5 - Is there an example where Machine Learning and Optimization work together?

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Choosing a Math Programming Solver

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. However, with so many options out there to choose from, how do you select the right solver for your business needs? In this eBook, we guide you through the step-by-step process of choosing a mathematical programming solver

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Combine Predictive and Prescriptive Analytics for Better Decision Making

Most BI tools have addressed only descriptive and diagnostic analytics — rarely predictive or prescriptive analytics. This means they fail to recommend specific decisions or actions that would improve measurable value outcomes.

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Finding Mathematical Optimization in Unexpected Places: Games and Puzzles

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