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.
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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.
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.
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.
The future of operations research and decision science hinges on DecisionOps infrastructure, systems of record, and an integrated ecosystem.
How Grubhub’s data science team uses Nextmv to accelerate model development, ship models as microservices, and build trust with business users.
