The path to production is a journey that necessitates applying software engineering practices to mathematical modeling. Learn about ways to demystify and streamline that process in this panel discussion.
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We examine the value of treating decision models as engineered software components and how to approach decision modeling with an adaptable process.
Accelerate development of your Python decision models – from completely custom models to those built using popular modeling tools – with features for testing, deploying, managing, and collaborating.
The ops-ification of disciplines such as software development, machine learning, and security aims to increase efficiency and reduce risk. For decision science and operations research — a discipline built on efficiency — it’s no different.
If you’re solving mixed-integer programming problems in Python, the latest Nextmv app will accelerate your development. Deploy, test, manage, and collaborate on your HiGHSpy model with our DecisionOps platform.
To solve the complex transportation challenges of school districts nationwide, HopSkipDrive leverages Nextmv’s building blocks to develop its proprietary and customizable student routing solution.
