RisingWave Community - What are some use cases for online feature stores in ML feature management and serving?

Online feature stores are valuable for real-time ML feature management and serving.
They enable efficient storage and retrieval of features for machine learning models.
Online feature stores can support real-time transformation and storage of features.
They are particularly useful for applications like recommender systems that require quick access to up-to-date features.
Python UDFs can be used to express custom logics within online feature stores like RisingWave.