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Synthetic data generation: Building trust by ensuring privacy and quality

IBM Big Data Hub

With the emergence of new advances and applications in machine learning models and artificial intelligence, including generative AI, generative adversarial networks, computer vision and transformers, many businesses are seeking to address their most pressing real-world data challenges using both types of synthetic data: structured and unstructured.

Privacy 86
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Don’t wreck your data lake with poor quality data 

Collibra

A data lake acts as a central repository of data. The data can be unstructured and processed as required. Data stored in data lakes can be images, videos, server logs, social media posts, and data from IoT devices. They do not need a fully defined data structure.

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Facebook May Have Gotten Hacked, and Maybe It’s Better We Don’t Know

Adam Levin

Facebook’s Two-Factor Authentication phone numbers exposed: After prompting users to provide phone numbers to secure their accounts, Facebook allows anyone to look up their account by using them. The company has also used security information for advertising in the past.). Reputations tend to color the way we read events.

Privacy 40
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Part 2: OMG! Not another digital transformation article! Is it about the evolution from RIM to Content Services?

ARMA International

How will organizations use so-called “vaccine passports” related to employees and customers and how will organizations secure their protected health information (PHI) in response to changing health directives? IA overlaps many areas of design, such as navigation, user experience, user interface, security model, taxonomy, and metadata.