Forecasting supply and demand, serving restaurant recommendations, and predicting delivery times. These are just a few examples of how Machine Learning is being applied at Wolt. Now with over 20 million users, scaling the ML infrastructure has been a significant challenge.
This talk highlights those challenges and how they were addressed by building an end-to-end MLOps platform on Kubernetes. You'll learn about the open-source frameworks that Wolt integrated, specifically Flyte, MLFlow, and Seldon Core.
