Building Machine Learning Pipelines with Real-Time Feature Engineering

As business demand grows for real-time ML use cases, enterprise ML teams are grappling with the inherent complexities of real time feature engineering. An online feature store makes the process of ingesting streaming data, performing calculations in real time and delivering fast inferences both repeatable and reproducible.

In this white paper, you will learn:

• How to get started with real-time feature engineering with an online feature store
• How to perform model monitoring, drift detection, and automatically trigger re-training on models in production