Xiaoming Zhang - Productionizing ML Models at Online Shopping at Loblaws

Published: 16 August 2023
on channel: Toronto Machine Learning Series (TMLS)

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Speaker Bio -
Xiaoming Zhang is a senior data scientist at Loblaw Digital. She has been focusing on personalization and recommendation for digital shopping experience, as well as ML model deployment infrastructure to productionize the data science services. Xiaoming came from a physics background, with a focus on geophysics for her phd studies and condensed matter theory for her master studies and undergrad.

Talk Abstract -
In this talk, I will present our recent work about how we productionize ML models as managed microservices through ci pipelines, achieve continuous improvement through online AB or MAB testing, and the technical implementation by leveraging the cloud platform and open source tools including seldon-core.

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