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.
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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.
How can GPUs improve decision optimization workflows? In what ways will solving optimization problems change? How does this change the way technology leaders think about their AI strategies? We spoke with the NVIDIA cuOpt team to find out.
Advice and perspectives from Ryan O’Neil and Thiago Serra about moving from academic settings and research environments to industry practice.
