New data classification feature transforms how enterprises build high-quality training data, delivering up to 80% faster ...

Data classification can be viewed as the act of putting data in buckets, based on the criteria of confidentiality, criticality, sensitivity/access control and retention. The basis for framing a data ...

KUWAIT CITY, Nov 16: The Ministry of Health, represented by the National Health Information Center, in cooperation with the World Health Organization (WHO), organized a training workshop for health ...

In today's digital landscape, organizations face an unprecedented challenge: managing and protecting ever-growing volumes of data spread across multiple environments. As someone deeply involved in ...

The Data Science Lab Multi-Class Classification Using PyTorch: Training Dr. James McCaffrey of Microsoft Research continues his four-part series on multi-class classification, designed to predict a ...

In an era where sensitive data is a prime target for cyberattacks and compliance violations, effective data classification is the critical first step in safeguarding information. Recognizing the ...

Aimed at measuring sensitivity of non-personal data, the move may potentially open up a trove of public sector data—such as anonymised collective land ownership patterns, historical weather figures, ...

Dr. James McCaffrey of Microsoft Research continues his four-part series on multi-class classification, designed to predict a value that can be one of three or more possible discrete values, by ...