From notebook to Nextmv: Deploy, run, and test Python decision models for optimization

Does your decision modeling work start in a Python notebook? Jupyter Notebooks are commonly used for prototyping and running decision models locally, but what happens when you need a colleague to look at odd behavior from a recent run? How do you compare the performance of your newly developed model against the model currently running in production – and then share those test results with stakeholders? Join Nicole Misek, VP of Decision Science and Engineering, as she walks through deploying your local decision model as a fully-featured decision app on the Nextmv platform for simpler collaboration and a smarter workflow.

Key takeaways

  • Get started with Jupyter Notebook templates per use case (e.g., routing, knapsack)
  • Deploy a local decision model to the Nextmv platform directly from a notebook
  • Create experiments (e.g., scenario testing) to understand model performance

Get started on Nextmv for free and learn more in the documentation.

Have questions? Reach out to us to talk with our technical team.

Presented by
VP of Decision Engineering