In the context of exchanging data with third parties, Data Contracts play a critical role in ensuring security and compliance. They establish protocols for data management that promote responsible practices and alignment with legal and quality standards. This, in turn, diminishes risk for organizations and their external associates.
Machine learning models require consistent, high-quality data for training and inference. Variations in data quality or structure can lead to model performance degradation.
Data contracts define the quality, volume, timeliness, and data structure required for machine learning pipelines. They ensure that the data feeding into models is suitable for the task and that changes in the data are appropriately managed to avoid impacting model accuracy.