Despite the continued hype surrounding AI adoption, many overlook one of the biggest factors for AI success: data quality.

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

Global Medical Terminology Software Market size is expected to be worth around US$ 3.4 Billion by 2033 from US$ 1.2 Billion in 2023.

I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

Physna is licensing API access to its Physical AI search and normalization engine for a cohort of AI labs, OEMs, ...

This paper examines recent research on employment discrimination and addresses basic issues concerning who should be the focal subjects of employment discrimination research and which search terms ...

The README mentions a section on "Supported Databases" but does not provide specific examples or details on how to connect Superset to these databases. As a result, new users may find it challenging ...

In today’s data-driven world, databases form the backbone of modern applications—from mobile apps to enterprise systems. Understanding the different types of databases and their applications is ...

Abstract: Database normalization is a ubiquitous theoretical relational database analysis process. It comprises several levels of normal forms and encourage database designers not to split database ...

Following the shootings of two Minnesota lawmakers, NPR's Michel Martin speaks with Matthew Dallek, a historian and professor at George Washington University, about political violence in America. The ...