In 2026, data engineering isn't just about managing data-it's about building intelligent systems that power business strategy. Companies are moving beyond batch warehouses to real-time, cloud-native ...

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...

Abstract: The current growth and evolution have led to the emergence of structures such as unstructured big data in different fields creating a need and demand for effective quality assessment models ...

Abstract: In the context of Industry 4.0, Machine Learning (ML) and Deep Learning (DL) offer transformative potential for manufacturing, including defect reduction and process optimization. However, ...