When designing an effective enterprise data strategy, organizations often choose between a top-down and a bottom-up approach. Each method has its unique advantages and is suitable for various ...

Just as machine learning, artificial intelligence, data modeling and analytics platforms have transformed manufacturing, drug discovery, health care and operations in a host of other industries, these ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial ...

Artificially generated data can help to train AI models when real data are scant, but more focus is needed on validating the ...

The PRISSMM™ cancer data modeling system, enhanced by and licensed from Memorial Sloan Kettering Cancer Center (MSK), is a state-of-the-art data modeling system that allows users to curate clinical ...

Co-authored by Shamnad Mohamed Shaffi of Amazon Web Services, Sunish Vengathattil of Clarivate Analytics, and Jinal Mehta of Amazon, the study explores how a cutting-edge data lakehouse architecture ...