Objective In China, a large number of health-related short videos are posted on video platforms, including educational videos ...

In modern enterprise data platforms, data quality and data governance protocols are essential to ensuring the reliability, ...

Modern analytics pipelines often follow the medallion architecture, which organizes data into Bronze (raw), Silver (cleansed) ...

Federal statistical agencies face increasingly overt politicization by the Trump Administration on top of chronic underinvestment, uncertainty, and recent and proposed budget cuts, all of which ...

Abstract: The success of Machine Learning (ML) models in healthcare relies heavily on the quality of data used. High-quality data are crucial for improving the predictive capabilities and the overall ...

To establish a consistent approach to assess, manage and improve data quality across the data lifecycle, covering a wide spectrum of data types, and taking into account the blurred line between data ...

While everyone is asking if their data is ready for AI, I want to ask a somewhat different question: Is your data quality management (DQM) program ready for AI? In my opinion, you need to be able to ...

The world doesn’t wait. Trade wars erupt, supply chains snap, governments split. In this environment, slow isn’t inefficient—it’s lethal. Businesses need to adapt faster than ever. When a company ...

Objective: This study aimed to examine the association between trait anxiety and sleep quality among college students and to assess whether different levels and components of physical activity (PA) ...

Cebu City – The Operation Timbang Plus or OPT Plus has been mentioned a couple of times especially when scrolling through the webpage of the National Nutrition Council. As cited in the previous ...