tag privacy-rights 
DLA Piper Privacy Matters
AUGUST 22, 2023
The Draft Measures propose to introduce or flesh out other compliance requirements contained in the PIPL. This will, therefore, require more in-depth privacy notices than businesses may be used to providing in China. All these indicate that DPO should be a relatively senior position within an organization.
AIIM
NOVEMBER 16, 2017
This is the seventh post in a series on privacy by Andrew Pery. You might also be interested in: Mitigate Data Privacy and Security Risks with Machine Learning. The Privacy and Security Dichotomy. GDPR and Cross Border Data Flows between the EU and the US: Current State of the Law.
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IBM Big Data Hub
APRIL 24, 2024
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.
Reltio
MARCH 17, 2020
The California Consumer Privacy Act (CCPA), the sweeping piece of legislation designed to enhance the privacy rights of California consumers, was signed into law more than 18 months ago and enacted on January 1 of this year. How is it that many companies doing business in California are still not compliance-ready?
erwin
APRIL 2, 2021
With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with data management and protection also are growing. Data Security Starts with Data Governance. Lack of a solid data governance foundation increases the risk of data-security incidents.
Data Protection Report
JULY 25, 2023
the CAC) commence supervisory checks on the generative AI service, co-operate with them, explain the source, size and types of the training data, tagging rules and the mechanisms and principles of the algorithm and provide necessary technology and data, etc., for support and assistance.
Thales Cloud Protection & Licensing
DECEMBER 11, 2023
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.
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