With AI models being increasingly applied in critical uses like healthcare and safety, data quality is becoming a significant issue. Yet data is one of the most under-valued aspects of AI.

Everyone relies on data differently depending on their goals and interests, which means the implications of data quality varies depending on who’s using it.

Security cameras are safer than ever but if you're worried about unauthorized access, here are some steps you can follow for ...

This shift has accelerated the need for high-quality B2B2C data: identity-linked insights that connect consumer behavior with professional context. At the core of this approach is the ideal person ...

Key Points ・Columbia University will pay $9 million to settle a class action suit alleging it misreported data to U.S. News & ...

Use precise geolocation data. Actively scan device characteristics for identification ... Enable the use of cookies for ...

Section 6 outlines the next steps ESMA plans to take in enhancing the monitoring of data quality and fostering the use of it in line with the objectives included in the ESMA Data Strategy 2023-2028.

Identifying false positives is almost as important as detecting genuine concerns during quality control (QC) processes.

Air quality drops to 'Unhealthy' range in Grand Rapids amid wildfire smoke, posing health risks and creating murky skies.

Endoscopy in paediatric patients presents unique challenges due to the vulnerability of young children and the need for procedures under deep sedation or general anaesthesia.1 Furthermore, indications ...