Remove tag data-protection-act
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Data privacy examples

IBM Big Data Hub

An online retailer always gets users’ explicit consent before sharing customer data with its partners. A navigation app anonymizes activity data before analyzing it for travel trends. One cannot overstate the importance of data privacy for businesses today. The user can accept or reject each use of their data individually.

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Fuel Data Intelligence with data governance

Collibra

Data is all around us. In our professional lives, we generate more data with every term we search, email we send, and product or service we provide to our customers. Organizations everywhere are scrambling to make the most of their data, but they often try to do so without a robust foundation that supports the enterprise.

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The advantage of active data governance

Collibra

Data is all around us. In our professional lives, we generate more data with every term we search, email we send, and product or service we provide to our customers. Organizations everywhere are scrambling to make the most of their data, but they often try to do so without a robust foundation that supports the enterprise.

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Part 1: OMG! Not another digital transformation article! Is it about understanding the business drivers?

ARMA International

Some technology trends such as real-time data analytics are on-going, while others are more recent, such as blockchain. Information and data are synonyms but have different definitions. ARMA defines information as “Data that has been given value through analysis, interpretation, or compilation in a meaningful form” (ARMA 2016, p 28).

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IoT Cybersecurity: 5 Major Vulnerabilities and How to Tackle Them

Security Affairs

If you take a look at the global market for IoT, you can easily spot the trend. The market surpassed $100 billion in revenue, and it’s revenue for the 2025 projections tell us that it will hit $1.5 Furthermore, consumers believe that companies and services have the responsibility of keeping their data secure. Poor credentials.

IoT 132
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A Pandora's Box: Unpacking 5 Risks in Generative AI

Thales Cloud Protection & Licensing

These hallucinations can occur for various reasons, such as errors in the AI's algorithms, biases in the training data, or limitations in the AI's understanding of the context or task. Data Poisoning: The integrity of AI systems relies heavily on the quality and reliability of the data they are trained on.

Risk 71
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Data integrity vs. data quality: Is there a difference?

IBM Big Data Hub

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data.