Videos

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

Go from a local decision model to a remotely hosted decision application (with API endpoints) that you can easily share, test, and confidently promote to production. See the model-to-app workflow using a Jupyter Notebook and Nextmv in under 30 minutes.

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.

Bring your custom Python decision model to Nextmv and accelerate time to value

If you develop decision models in Python, this presentation will save you time (and the added effort of building and maintaining DecisionOps tools). Accelerate development of your optimization models with features for testing, deploying, managing, and collaborating.

Uncertainty, ML + OR, and stochastic optimization: Demo and Q&A with Seeker creator

What approaches are available to decision scientists and operations researchers to incorporate more randomness and uncertainty into their models? We explore this, ML + OR, and stochastic optimization with Nextmv and Seeker.

How to perform a scenario test for decision models

Simulate scenarios to answer "what if" questions with your decision model.