Videos

Preparing for production: Best practices for OR and decision science teams

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.

Move fast and show value: Agility in decision intelligence via DecisionOps

Good. Fast. Cheap. Pick two, they say. But (true to form) decision intelligence teams strive to maximize for all three — project success often hinges on it. Balancing these objectives often comes down to a team’s agility ability. What does this look like? And how is it put into practice?

Nextmv platform overview

Watch a quick introduction to Nextmv's DecisionOps platform.

What to know about practicing operations research and decision science in industry

Two operations research PhDs with varied real-world experiences explore skillsets, actions, and considerations for entering into and practicing in OR and decision science in industry analytics settings.

Intro to Pyomo on Nextmv: From local dev to production with DecisionOps

Learn how to operationalize your Pyomo model with DecisionOps in under 30 minutes. Follow along and deploy a Pyomo decision model to scalable infrastructure to create observable, end-to-end optimization workflows.

Getting your AMPL + HiGHS model into production – Live Nextmv workshop

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.