06-07, 11:05–11:50 (Europe/London), Doddington Forum
Deep dive into how Monzo reduced the effort it takes to generate point-in-time correct features for model development and productionise them with realtime streaming using our event-driven architecture.
Join us for an in-depth exploration of Monzo' approach to feature engineering. This session will jump into the methodologies we use to streamline the creation of point-in-time correct features for model development. We will show how these features are transitioned into production environments, using real-time streaming powered by our event-driven architecture. Discover how we overcame challenges, reduced development time, and ensured data accuracy/consistency.
No previous knowledge expected
By day, Alex heads up the Machine Learning platform at Monzo, tackling exciting challenges in the fintech space. He also enjoys bringing people together as a host for the MLOps Community London, connecting peers and advancing the conversation around production ML.