Videos

Preparing for production: Best practices for OR and decision science teams

How robust is your path to production? Can you own the end-to-end decision process? From handling input to removing hard-coded parameters, managing versions, and rollout testing, we’ll cover the top best practices for building, testing, and deploying decision models efficiently.

Deploy a Python VRP decision model as an app from a Jupyter Notebook

Deploy, run, and test a VRP model from a notebook without translating to different formats like .mps or .lp files.

Deploy a Python Gurobi decision model as an app from a Jupyter Notebook

Deploy, run, and test your Gurobi model from a notebook without translating to different formats like .mps or .lp files.

What's new at Nextmv? Solver and data integrations, simulating scenarios, and ML+OR

Join us for a tour of the newest features and get a sneak peek of what’s to come. See how our decision science platform helps teams launch and scale optimization projects faster and with more confidence.

Nextmv ML/OR connectors: A price optimization example with Gurobipy, Gurobi ML, and Gurobipy Pandas

A look at how Nextmv’s ML/OR connectors better optimize the plans generated by decision models through streamlining the incorporation of machine learning outputs such as forecasts. Plus, avocados are involved.

The what, why, and how of DecisionOps: Accelerating time to value for optimization

How do optimization teams get decision models live into business processes faster as managed services? We explore this through the lens of dedicated DecisionOps workflows.