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How to Advocate for Data Privacy and Users' Rights

WIRED Threat Level

Want to speak up against Big Tech, unjust data collection, and surveillance? Here's how to be an activist in your community and beyond.

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How to implement the General Data Protection Regulation (GDPR)

IBM Big Data Hub

Second, a comprehensive inventory makes it easier to comply with user requests to share, update, or delete their data. To ensure that consent is informed, the organization should clearly explain what it collects and how it will use that data at the point of data collection.

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How to Maintain eDiscovery Data Integrity

eDiscovery Daily

As a vital part of the Electronic Discovery Reference Model (EDRM) , any data collected is done so with the intent to capture it exactly as intended or as it was actively being used. This ensures the searchability and traceability of your data so it can be properly collected, indexed, and documented for use in litigation.

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How to Prepare for the Metaverse

AIIM

Data architecture is probably the first to rank. Scalability will be tested to the maximum due to the extreme data collection and data processing requirements coming from metaverse scenarios. Integration and data consumption will redefine their order of magnitude, and AI will be the de facto standard.

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10 Tips on how to improve data quality

Collibra

Assuring data quality in quantitative research requires a comprehensive approach, right from data collection methods to stringent data quality checks. The following methods to enhance data quality in research can help deliver trusted data. Plan the data collection methods for the required data.

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Regional privacy but global clouds. How to manage this complexity?

Thales Cloud Protection & Licensing

How to manage this complexity? Data controllers are accountable to the persons (consumers, citizens) or other organisations (customers) they serve as part of their purpose. The accountability of data controllers cannot be transferred. Regional privacy but global clouds. Tue, 05/31/2022 - 07:04. Implementing privacy.

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AI in marketing: How to leverage this powerful new technology for your next campaign

IBM Big Data Hub

AI marketing is the process of using AI capabilities like data collection, data-driven analysis, natural language processing (NLP) and machine learning (ML) to deliver customer insights and automate critical marketing decisions. What is AI marketing?