The future of data classification isn't just about categorizing data—it's about understanding it in all its complexity and context.

Data classification is also a critical part of data security. Statistics show that nearly 62% of U.S. firms suffered a data breach last year and over 80% contained a human element, including incidents ...

You need to know where your data is, what it is, its governance requirements and relationship to the rest of your data. We look at data classification and how AI can help ...

To be compliant, to ensure data is optimally protected, that it is available, that it can be analysed and that it is stored most cost-effectively – these are reasons why data classification is ...

BigID has made it easier to adjust classification machine learning models in real time, thanks to a new feature of its data intelligence platform called classifier tuning. Classifier tuning will allow ...

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 ...

The act of combining data from multiple sources is often resulting in accidental “upclassing”, “PII additive” or “deanonymization” problems, causing significant issues.

Two years ago, Microsoft debuted SharePoint Syntex, which leverages AI to automate the capture and classification of data from documents -- building on SharePoint’s existing services. Today ...

This demo from Dr. James McCaffrey of Microsoft Research of creating a prediction system for IMDB data using an LSTM network can be a guide to create a classification system for most types of text ...