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Data privacy examples

IBM Big Data Hub

These are just some examples of how organizations support data privacy , the principle that people should have control of their personal data, including who can see it, who can collect it, and how it can be used. One cannot overstate the importance of data privacy for businesses today.

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My Experience at the Washington DC Masters Conference

eDiscovery Daily

The agenda featured a diverse range of topics, such as Modern Data, Link Files, eDiscovery Case Law, and Artificial Intelligence, making it an exceptional experience for attendees. Mable Tun weighed in with the need to have targeted collections or a step to cull out personal data from smartphone evidence due to privacy concerns.

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Best Facial Recognition Software for Enterprises In 2022

eSecurity Planet

Facial recognition software (FRS) is a biometric tool that uses artificial intelligence (AI) and machine learning (ML) to scan human facial features to produce a code. With all the gathered data on facial recognition technology, it indeed offers significant potential for the security aspects of enterprises.

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Guest Post -- New Global Data  and Privacy Regulations in 2018 and the GDPR

AIIM

Data privacy breaches have been in the news again and again this year, eliciting increased concern from regulators and legislative bodies. But one of the most important data privacy milestones on the horizon in 2018 has its roots far earlier, and has been of utmost concern to multinational organizations.

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What’s new in OpenText Axcelerate

OpenText Information Management

OpenText eDiscovery solutions have a long history of incorporating artificial intelligence (AI) and advanced analytics to dramatically improve review efficiency and lower costs while ensuring defensibility of process. This allows for changing character sets used for OCR to accommodate multi-language data sets. PostgreSQL.