Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

At week 12, the highest dosed patients achieved the best tissue response seen in the trial to date, with a near complete improvement in tissue ...

Tividenofusp alfa treatment showed reduction and normalization in key disease biomarkers, stabilization or improvement in clinical endpoints ...

This past Friday, labor economist Guy Berger got to sleep in for the second month in a row. He wasn’t happy about it. The government shutdown meant there was no jobs report from the Bureau of Labor ...

Whether investigating an active intrusion, or just scanning for potential breaches, modern cybersecurity teams have never had more data at their disposal. Yet increasing the size and number of data ...

Good software habits apply to databases too. Trust in these little design tips to build a useful, rot-resistant database schema. It is a universal truth that everything in software eventually rots.

The old adage, "familiarity breeds contempt," rings eerily true when considering the dangers of normalizing deviance. Coined by sociologist Diane Vaughan, this phenomenon describes the gradual process ...

Learn the definition of data quality and discover best practices for maintaining accurate and reliable data. Data quality refers to the reliability, accuracy, consistency, and validity of your data.

Abstract: Data normalization is an important step in the sustainability analysis. This is the process of bringing data to a single scale, which makes it possible to compare them with each other and ...