“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. Integrating a decision model into a live business process is a journey that necessitates applying software engineering practices to mathematical modeling in ways that are not always intuitive or straightforward. What are ways to demystify and streamline that process?
In this session, Ryan O’Neil will host a conversation with Ryan Marcus, Lead Data Scientist at Carvana and Chris Pryer, Principal Engineer at NFI, that explores this topic through industry experience and observations. The panel will consider the factors that go into successfully bridging the divide between “I have built a model” and “I have deployed a model into a live business process.”
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