Nextmv will be at INFORMS Annual 2025. We’re excited to see you there!
Visit us at booth #219 in the exhibit area to say hello and learn more about Nextmv. We’re hosting a workshop, presenting a technology showcase, and demo-ing all the DecisionOps goodness of Nextmv. Learn more below.
Presenters: Carolyn Mooney and Tiffany Bogich
Supporting staff: Liz Miller
Date: Saturday, October 25, 2025
Time: 1:00 PM - 2:15 PM
Location: A316
Accessibility: Free and open to all conference registrants
Why do OR projects fail? Why do they succeed? The way a project unfolds often comes down to how a project is run. DecisionOps (yes, it’s like MLOps, but for decision science) makes all the difference because:
- People don’t trust decisions they can’t understand
- Every optimization run needs to be logged, tracked, and explainable
- Testing reduces rollout risk and increases revenue opportunities
- Structured workflows across a diverse, integrated ecosystem provides choice and resilience
These four things amount to: observability, explainability, systematic testing, and consistency in support of diversity. And they all depend upon a robust platform that facilitates collaboration across modelers, engineers, and business users.
In this interactive workshop, you’ll learn how to efficiently operationalize open source and commercial decision models, create workflows that link to up and downstream processes like ML forecasting and result visualization, perform robust scenario testing to explore what if questions, and manage model versions and run data. What’s more: You have the opportunity to see all of this in action — and do it yourself live.
This session is relevant to data science and OR practitioners using tooling such as OR-Tools, Pyomo, HiGHS, VROOM, Gurobi, AMPL, FICO Xpress, Hexaly, Statsmodels, scikit-learn, Databricks, Snowflake, and more.
View on the INFORMS Annual 2025 website.
Presenters: Carolyn Mooney and Tiffany Bogich
Supporting staff: Liz Miller
Date: Monday, October 27, 2025
Time: 2:45 PM - 3:20 PM
Location: A301
Accessibility: Free and open to all conference registrants
Optimization is founded upon the promise of efficiency and improving solutions. In today’s analytics environment, the leading data science and optimization teams will be defined by how they apply DecisionOps practices to test, deploy, and operate these solutions alongside software and business stakeholders.
Join this session to learn basic concepts, real-world applications, and how to get started with DecisionOps in Nextmv, a platform for accelerating decision model development. This session is relevant to anyone working with tools such as: OR-Tools, Pyomo, HiGHS, VROOM, Gurobi, AMPL, FICO Xpress, Hexaly, Jupyter Notebooks, Statsmodels, Prophet, scikit-learn, Databricks, Snowflake, and more.
Primary CAP JTA domain focus areas for this showcase:
Domain V - Model Building
Model verification and validation through testing, model reproducibility, model performance communication to stakeholders, and model integration.
Domain VI - Deployment
Infrastructure considerations for model deployment, online testing (shadow and switchback) for safer production rollouts, CI/CD workflows for collaboration with engineering processes.
Domain VII - Model Lifecycle Management
Observability and monitoring for model performance and health, model version management, model replay mode for troubleshooting, ongoing experimentation and reporting for model iteration and improvement to align with business requirements.
View on the INFORMS Annual 2025 website.
