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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.
Transform Your Data Into Optimized Business Decisions
Alongside machine learning and visualization, mathematical optimization is becoming essential for today’s data scientists.
How Are Companies Today Using Mathematical Optimization?
To get more insights on how companies today are using mathematical optimization – on its own and in combination with machine learning – download the full Forrester Opportunity Snapshot “Mathematical Optimization and Machine Learning: Your Perfect AI Tech Team.”
Mathematical Optimization: What You Need to Know
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).
5 Essential Ingredients for Mathematical Optimization Success
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).
What-If Analysis: The Key to Unlocking the Opportunity in Uncertainty
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. But there’s one thing you don’t know: The future. This management paper, we explain what “What-If Analysis” is and explore how it can benefit your business.
2021 State of Mathematical Optimization Report
This inaugural edition of the State of Mathematical Optimization Report showcases the importance and impact of mathematical optimization in the business world today.
How to Optimize the Design of Your Supply Chain Network
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. With mathematical optimization, businesses can make the best possible decisions on how to design their supply chain networks – so that they can ensure long-term, end-to-end efficiency and profitability. In this guide, we will walk you through the key steps you need to take to optimize the design of your supply chain network.
