For clients, data quality is fast becoming a pressing issue. Some are starting to take a tougher approach. Liam Kay-McClean ...

Poor data governance can lead to a myriad of issues that include data interpretation inconsistencies, security ...

The data wilderness hits major technology initiatives like AI projects when obstacles are created by data accuracy, quality, ...

Modern manufacturing operates in complex environments where traditional management approaches are no longer enough. This ...

The MDA process typically involves five main steps: data preparation, data analysis, evaluation and interpretation of results, and implementation of results into manufacturing systems. Unique issues ...

Implementing AI in healthcare isn’t just about choosing the right tools—it’s about making them work in the real world.

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

Woman receives voter card with CM Nitish Kumar’s photo during electoral roll revision by Election Commission ahead of polls.

Learn how AI and machine learning enhance antibody discovery – from structure prediction to binding optimization – with ...

The National Health Mission’s funding for states and union territories is conditional on their health facilities getting the ...

Veeda Lifesciences, a global contract research organization (CRO), has announced an investment in Mango Sciences, a ...