Videos

Nextmv Hexaly Integration: How to run, test, and manage with DecisionOps workflows

Interested in Hexaly to solve optimization problems? This techtalk covers how to get started with Hexaly in Nextmv, use features for scenario testing, best plan auto-selection, model management, and a Q&A with Hexaly’s CEO.

Improving how business users interact with optimization and decision models

Why did the model choose that plan? How much better is the optimization’s plan than mine? Nextmv is helping operators, analysts, and business users more efficiently answer these questions with new UI features that improve decision model explainability.

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.

Decision maturity roadmap

Learn how to leverage data and AI for better operational decisions.

Deploy your HiGHS Python model as an app from a Jupyter Notebook

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

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.