While SDTM mapping improves consistency and accelerates review, it also raises significant compliance and privacy challenges.

Today, organizations find themselves entangled in a dance—one that hinges on achieving the perfect balance of data minimization, privacy and precision in AI outcomes.

The topic of data privacy is heating up at the moment, with consumers and government bodies more worried about data anonymization, invasive tracking, and illegal data harvesting than before. In this ...

In Enterprise AI World's latest webinar, Building and Managing an Effective AI Governance Strategy-co-hosted by DBTA-experts highlighted practical steps for building and managing an effective AI ...

Companies should focus on building clear, ethical data practices—ensuring that user consent is meaningful, that data use is transparent, and anonymization protects individual identities.

"Anonymization" effectively "shreds" information, making it possible for companies to share information about their customers with governments or other companies without giving away any personal data.

'Data Anonymization' is a favorite term for tech providers seeking to train their generative AI systems on user data. But data privacy professionals caution that it can be an ambiguous or ...

SEOUL, South Korea--(BUSINESS WIRE)--INFINIQ, the leading AI data company in South Korea, has introduced a data anonymization solution that automatically detects and anonymizes all identifiable ...