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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 93
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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

Reputations tend to color the way we read events. A little context: MySpace recently announced a major migration gaffe : “As a result of a server migration project, any photos, videos, and audio files you uploaded more than three years ago may no longer be available on or from Myspace.”

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

The cloud enabled computing model allows the organization to scale up during peak periods such as new product launches and holiday shopping, and then scale down after the event. DAM applies to such content as podcasts, videos, architectural and design documents, intellectual property, logos, trademarks, copyrights, and more.