Blog

6 best practices for operationalizing decision models from local dev to production

A look at how to action a handful of best practices derived from experience and observation intended to improve decision model success.

Accelerating the feedback loop between decision modeler and operator with Nextmv

Simplify the collaboration between model developers and end users with DecisionOps. Compare runs, perform scenario tests, create shadow model versions, and share the results with a click.

Nextmv is now part of FICO

We’re joining forces with FICO to unlock a new level of DecisionOps and agentic AI decision workflows that will boost decision model governance, observability, and reliability.

In conversation: The software-OR interface

The path to production is a journey that necessitates applying software engineering practices to mathematical modeling. Learn about ways to demystify and streamline that process in this panel discussion.

In conversation: Agility in decision intelligence via DecisionOps

What does agility look like in the decision science space? Learn about the factors that accelerate decision model development and prototyping, ensure quality, and deliver project value.

A pattern for CI/CD pipelines and decision apps

Learn how to automate quality check workflows for decision apps using Nextmv’s acceptance testing, model management, and Git platform of your choice.

In conversation: Project success and failure in decision science

Behind every optimization project, there’s a compelling origin story to be told. Learn about tough (and valuable!) lessons in practicing OR from the folks who’ve lived them.

A first look at the Nextmv MCP Server

We walk through the Nextmv MCP Server's functionality for interacting with Nextmv decision apps via AI agents in a safe, consistent, and reliable way.

In conversation with Pyomo and HiGHS: Open source in OR

How are open source projects being used today? How should the community think about adoption and participation? Hear from members of the Pyomo and HiGHS teams.

A new Nextmv CLI

A simple one-line command unlocks everything you need for seamless DecisionOps-powered model development from your local machine to remote infra for testing and production runs.

How can you manage decision model versions on Nextmv? Let us count the ways…

An overview of approaches for managing model versions for testing, roll out, roll back, and provisioning by geographic region, client, or development environment in the context of DecisionOps.

In conversation: Building stakeholder trust in decision intelligence

Human review and feedback is part of any good decision workflow. Learn what decision algorithm developers and teams can do to increase trust and build confidence.

DecisionOps and reflections on the road ahead

The future of operations research and decision science hinges on DecisionOps infrastructure, systems of record, and an integrated ecosystem.