An overview of the emerging, foundational pieces required to leverage artificial intelligence within decision systems in a safe, reliable, effective, and consistent way.
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“I’d like help deploying this decision model. Does this .ipynb work? Or would you prefer .zip?” If you work on decision science projects, it is possible you’ve asked or been asked this question...
Learn how to operationalize your Gurobipy model with DecisionOps in under 30 minutes. Follow along and deploy a Gurobipy decision model to scalable infrastructure with streamlined engineering flows, built-in experimentation, and transparent model management.
Good. Fast. Cheap. Pick two, they say. But (true to form) decision intelligence teams strive to maximize for all three — project success often hinges on it. Balancing these objectives often comes down to a team’s agility ability. What does this look like? And how is it put into practice?
Two operations research PhDs with varied real-world experiences explore skillsets, actions, and considerations for entering into and practicing in OR and decision science in industry analytics settings.