Record your assignment model runs, results, input data, and more in Nextmv. Add a few lines of code to your existing model to track every run and easily share data with your teammates.

This interview explores perspectives on the intersection of ML and OR, challenges and opportunities for data scientists in the optimization space, observations in industry, and why now is a great time for practitioners to expand their skillset.

Testing optimization models improves workflows, increases stakeholder buy-in, and helps teams deploy to production safely and quickly. But what are the steps to make testing repeatable and scalable?

Optimization is often highlighted in supply chain contexts – routing, scheduling, inventory, and other tangible, visible problems. This post explores a few use cases in computing and software.

Decision model development and collaboration is easier and faster when there’s a shared system of record to reference and interact with for I/O, results, and charts. Learn how to create one in Nextmv.