How confident are you in your decision model parameters? How optimized are your decision model's parameters? Learn how to systematically sweep and test and auto-select the best result per request.
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Carolyn and Alison reflect on trends and observations from the INFORMS Analytics+ 2026 conference.
Most decision problems have more than one reasonable configuration. How do you efficiently pick the best one from many options? Nextmv can help you auto-select the best plan with ensemble runs.
Automate decision workflows using Nextmv and GitHub Actions. This tutorial demonstrates building CI/CD pipelines to deploy code to Nextmv Cloud and run automated acceptance tests against production baselines.
Nextmv v1.7.0 updates the Python SDK with manifest-based configuration for load and write functions. It also replaces statistics with flexible metrics and integrates UV for automated dependency management.
An overview of the emerging, foundational pieces required to leverage artificial intelligence within decision systems in a safe, reliable, effective, and consistent way.
Carolyn Mooney from Nextmv and Alison Cozad from Aimpoint Digital discuss evolving landscape of decision science ahead of the INFORMS Analytics+ 2026 conference.
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.
Verso customers can now use an API-to-API connection to access the Nextmv DecisionOps platform. Join this 30-minute techtalk with Verso co-founder, Julien Coupey, to learn more about the Vroom Premium API with Nextmv.
Test, manage, and collaborate on your Hexaly models using the Nextmv DecisionOps platform. Learn how to get started with a Hexaly VRP model, create a system of record, and confidently deploy to production.
From greedy algorithms to sophisticated mathematical optimization models, Swiggy's VP of Data Science discusses the evolution of their decision systems in mobility and commerce.
NVIDIA GPU-accelerated decision optimization has elevated the conversation around decision intelligence. Watch a Q&A conversation with the NVIDIA cuOpt team to learn more.
See how to sync local runs to a centralized UI, perform scenario tests, visualize routes, compare results side by side, scale compute with a dropdown menu and more with this vehicle routing example with NVIDIA cuOpt. Learn more with the community app: https://github.com/nextmv-io/community-apps/tree/develop/python-cuopt-routing