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Platform Thinking: A Lemonade Case Study // Orr Shilon // MLOps Coffee Sessions #79

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Machine Learning at Lemonade - What's Next?

i think at this point we have maybe 15 hundred features in our feature store. The platform sort of provides a what we call point in time data, or it basically provides dataan on our data warehouse,. And if researchers want to do maybe explortory data analysis, they can do that directly on the data warehouse  on these giant dimension tables with hundreds of features already been created for them. We translate modelling code, both for training and for inference, into our internal platform framework which kind of democratizes training. Anyone can i train anyone else's model. Finally, we use a third party for monitoring.

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