Find the optimal mix of competing products using predictive and prescriptive analytics in a Gurobi notebook. Go from prototype to production using Nextmv to run your models remotely, create optimization pipelines, perform scenario tests, and render custom visualizations.
Subscribe to our newsletter.
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.
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.
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.
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.
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.
