Remove tag privacy-rule
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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.

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Guest Post -- GDPR Compliance starts with Data Discovery

AIIM

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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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 Data Governance Protects Sensitive Data

erwin

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.

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China finalises its Generative AI Regulation

Data Protection Report

Scope of Application The Generative AI Measures apply to “ the use of generative AI technology (refers to algorithms, models or other rules) to provide services for generating text, pictures, sounds, videos and other content within the territory of China ”. for support and assistance.

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Guest Post -- New Global Data  and Privacy Regulations in 2018 and the GDPR

AIIM

Data privacy breaches have been in the news again and again this year, eliciting increased concern from regulators and legislative bodies. But one of the most important data privacy milestones on the horizon in 2018 has its roots far earlier, and has been of utmost concern to multinational organizations.

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My Experience at the Washington DC Masters Conference

eDiscovery Daily

The challenges presented ranged from missing attachments/link attachments, quality control in data processing for review, collection considerations on devices, especially around privacy, and deriving context from a variety of data existing in a case. The main takeaways were: AI in Data Privacy, Where to Begin?