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.
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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.
We’ve partnered with FICO® Xpress Solver to provide a modern DecisionOps platform experience to FICO Xpress users, allowing them to create end-to-end decision pipelines for model deployment, testing, collaboration, and monitoring at scale.
Select multiple runs from your model’s run history for a side-by-side comparison of their KPIs and model configuration. Answer performance questions in a few clicks and determine what to test next to continue improving your model.
