AI-augmented data quality engineering
Why traditional data quality is no longer enough Modern enterprise data platforms operate at a petabyte scale, ingest fully unstructured sources, and evolve constantly. In such environments, rule-based data quality systems fail to keep pace. They depend on manual constraint definitions that do not generalize to messy, high-dimensional, fast-changing data. This is where AI-augmented data…