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.
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Using a Hexaly model, see how to use Nextmv ensemble definitions to automatically select the best plan from many solutions based on your specified criteria.
Deploy and run a Statsmodels ML regressor, Gurobipy price avocado optimizer, and end-to-end decision workflow on Nextmv via a Jupyter Notebook on Google Colab. Plus, visualize results using Plotly and perform a scenario test to determine relationship between price and profit.
Get an early look at a feature that would allow business users, analysts, or modelers to change output data, recompute statistics, and compare to another model run.
Feedback on any project is inevitable. With optimization projects and decision models, we're developing more efficient commenting and feedback loops that sit alongside modeling work.
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.
