Operationalize your AMPL model and get an intro to DecisionOps in under an hour. Join us for an interactive session where you’ll deploy a decision model to scalable infrastructure to create observable, end-to-end optimization workflows.
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Learn how to build, test, and deploy Pyomo mathematical optimization models faster with Nextmv, featuring pre-bundled solvers for CBC and GLPK. Create a new model or integrate an existing one to accelerate its development with DecisionOps tooling.
Use Nextmv to compare two decision models operating in production while accounting for network effects
Switchback testing is a key part of the DecisionOps workflow. Get a quick primer on what it is and when to use it in this 2-minute video.
Learn how to solve mixed integer programming (MIP) problems with Google’s OR-Tools for use cases like scheduling, order fulfillment, packing and more. Then promote an updated model to production using CI/CD.
Automating on-demand logistics operations for scale, customization, and iteration is easier than you might think. Learn how to build, test, and deploy models for demand forecasting, shift scheduling, and route creation.
