From building to using feature stores for ML systems

Wednesday, October 11, 10:40am - 11:10am (CDT)

Time shown in-06:00 America, Chicago

Speaker: Fabio Buso

Much of this event will be concerned with building the necessary infrastructure for putting ML in production. In this talk, we will move up a level to show you how to build ML systems with a feature store. We will show how to leverage the feature, training and inference pipelines paradigm to develop and productionize ML systems both in batch and real time. We will show how to apply solid software engineering and MLOps principles for change control, staged feature rollout and availability to deliver high quality features in real time for model predictions.

Add to Calendar 2023/10/11 08:40:00 2023/10/11 09:10:00 America/Los_Angeles From building to using feature stores for ML systems Speaker: Fabio Buso

Much of this event will be concerned with building the necessary infrastructure for putting ML in production. In this talk, we will move up a level to show you how to build ML systems with a feature store. We will show how to leverage the feature, training and inference pipelines paradigm to develop and productionize ML systems both in batch and real time. We will show how to apply solid software engineering and MLOps principles for change control, staged feature rollout and availability to deliver high quality features in real time for model predictions. false MM/DD/YYYY 60 OPAQUE apQfLtmRnzOiFbgoNmal132273

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