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Data privacy examples

IBM Big Data Hub

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. One cannot overstate the importance of data privacy for businesses today.

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

Thales Cloud Protection & Licensing

In a recent study , IDC predicted the global datasphere will more than double in size from 2022 to 2026, and that 80% of that data will be unstructured. Traditional approaches to data classification use manual tagging which is labor-intensive, error-prone, and not easily scalable.