Operationalize your AMPL model and get an intro to DecisionOps in under an hour. Join us for an interactive session where you’ll deploy a decision model to scalable infrastructure to create observable, end-to-end optimization workflows.
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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.
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.
In under ten minutes, we demo how to deploy and run your local Python decision model from a Jupyter Notebook as a fully featured decision app on the Nextmv platform for simpler collaboration and a smarter workflow.
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.
Learn how to leverage data and AI for better operational decisions.
