Data Quality Assurance

Fondazione LINKS – Leading Innovation & Knowledge for Society

This module ensures that the data used for AI model operations respects some pre-defined quality criteria.

The Data Quality Assurance component ensures the integrity of data by evaluating factors like accuracy, completeness, and reliability, and extends to include data aggregation and anonymization. It operates within the knowlEdge Project system, receiving data from the shopfloor via the knowlEdge Data Collection Platform, and delivers quality-assured and potentially anonymized data to all system components through the knowlEdge Real-time Broker.