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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What does agility look like in the decision science space? Learn about the factors that accelerate decision model development and prototyping, ensure quality, and deliver project value.
Learn how to automate quality check workflows for decision apps using Nextmv’s acceptance testing, model management, and Git platform of your choice.
Behind every optimization project, there’s a compelling origin story to be told. Learn about tough (and valuable!) lessons in practicing OR from the folks who’ve lived them.
We walk through the Nextmv MCP Server's functionality for interacting with Nextmv decision apps via AI agents in a safe, consistent, and reliable way.
How are open source projects being used today? How should the community think about adoption and participation? Hear from members of the Pyomo and HiGHS teams.
