Data Quality & Feature Stores
A discussion on challenges of data quality for features and whether differentiate from general data quality requirements for analytics.
A discussion on challenges of data quality for features and whether differentiate from general data quality requirements for analytics.
Feature stores are data platforms that are responsible for managing data used by downstream clients - Data Scientists and production models. As such, data quality is paramount to ensuring correct functioning of AI-enabled services and applications. In this panel, we will discuss the challenges of data quality for features and whether they are different from general data quality requirements for analytics.
