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How Machine Learning Can Accelerate and Improve the Accuracy of Sensitive Data Classification

Thales Cloud Protection & Licensing

Traditional approaches to data classification use manual tagging which is labor-intensive, error-prone, and not easily scalable. ML builds on different types of models for different purposes, for example categorization to determine a document category or Named Entity Recognition (NER) to identify sensitive data across diverse locations.

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Data privacy examples

IBM Big Data Hub

A school asks parents to verify their identities before giving out student information. These are just some examples of how organizations support data privacy , the principle that people should have control of their personal data, including who can see it, who can collect it, and how it can be used.

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What IG Professionals Should Know About the Internet of Bodies

ARMA International

Those employees joined a growing number of workers in other countries – Belgium, the UK, and Sweden, to name a few – who use microchips for workplace security, convenience, and commuting. Workplace safety, health monitoring, and convenience top the list of benefits. These devices can take many forms.

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GDPR personal data explained

Collibra

The General Data Protection Regulation (GDPR), in force since May 25, 2018, requires businesses to protect the personal data and privacy of European Union (EU) citizens, for transactions that occur within EU Member States. The GDPR also regulates the exportation of personal data outside the EU. Location data .