Unified MLOps: Feature Stores and Model Deployment

If you’ve brought two or more ML models into production, you know the struggle that comes from managing multiple data sets, feature engineering pipelines, and models. This talk will propose a whole new approach to MLOps that allows you to successfully scale your models, without increasing latency, by merging a database, a feature store, and machine learning.


Monte Zweben

CEO and co-founder of Splice Machine @splicemachine
Monte Zweben is the CEO and co-founder of Splice Machine, a provider of real-time machine learning and AI solutions, where he leads the team in their mission to make operational, real-time AI possible for their customers.  A technology industry veteran, Monte’s early career was spent... Read more Find Monte Zweben at:

Wednesday May 26 / 10:10AM EDT (40 minutes)

TRACK State of ML/AI Union TOPICS Machine LearningDevopsContinuous DeliveryContinuous Deployment ADD TO CALENDAR Calendar IconAdd to calendar

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