AIOps applies machine learning and analytics to operations data so teams can see issues sooner, find causes faster and fix ...

A production-grade data quality monitoring system designed to ensure ML feature integrity for e-commerce platforms. This end-to-end pipeline demonstrates enterprise-level data engineering practices, ...

Abstract: With the trend of the big data industry penetrating into various industries, the world’s demand for data analysts is increasing day by day. However, there is a phenomenon in a society where ...

Abstract: Federated Learning (FL) facilitates collaborative learning among multiple clients in a distributed manner and ensures the security of privacy. However, its performance inevitably degrades ...

An analysis of foodborne outbreak data collection in Austria has found issues with completeness and consistency. A report published by the European Food Safety Authority (EFSA) shared results of a ...