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Data privacy regulation

A data privacy regulation is a legally binding rule governing how personal data may be collected, processed, stored, used, disclosed, transferred, or protected.

How 3 Manning books explain it

First-Party Data Activation

A legally enforceable rule governing the collection, use, sharing, and protection of personal data.

How it is used
Frames privacy compliance as a constraint and opportunity for trustworthy, first-party-data marketing.
How deep it goes
Explains consent, deletion, regional variation, and protective practices at a strategic level, without a regulation-by-regulation compliance procedure.
Examples
Uses cross-site headphone ads, scattered records complicating deletion, and GDPR and CCPA rights to make the trade-offs concrete.
What you can do after
Apply it via a privacy-centric marketing strategy that explains data uses, respects preferences and applicable rights, and protects collected data.

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Effective Data Analysis

A data protection regulation is a law governing how organizations collect, store, process, use, retain, and delete information about individuals and how individuals can exercise rights over that information.

How it is used
Guides analytics and organizational practices for handling personal and sensitive data while protecting individual rights.
How deep it goes
Defines data categories, handling expectations, and individual rights, but leaves regional legal differences for separate treatment.
Examples
Uses names, addresses, phone numbers, email addresses, IP addresses, GDPR, and sector-specific laws as examples.
What you can do after
Operate/configure data practices that limit access, collection, retention, and use while supporting individual rights.

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Introduction to Generative AI, Second Edition

Privacy regulation is the body of legal rules governing the collection, storage, processing, disclosure, and disposal of personal data.

How it is used
Frames the legal controls and unresolved governance questions surrounding personal data and large language models.
How deep it goes
Explains regulatory purposes, historical foundations, and enforcement examples while stopping short of detailed statutory analysis.
Examples
Uses Sweden’s 1973 law, United States Fair Information Practices, ChatGPT restrictions, and a DeepSeek investigation.
What you can do after
Evaluate how AI systems gather and process personal data against transparency, lawful-basis, accountability, and user-control concerns.

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Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.