GDPR and Anonymization
For companies wanting to do business in Europe, being GDPR-compliant is essential. Learn more about the rights of access and erasure the legislation covers as well as what types of data must be anonymized.
To achieve a more seamless adherence to the new regulation, it is best to create privacy-centric policies and procedures around sensitive data storage and sharing. Robust, risk-based anonymization protocols are an integral part of any adherence plan. Adopting a risk-based anonymization strategy like our Expert Determination method does most of the hard work for you.
This white paper explores anonymization under GDPR. Read it now. Stay competitive. And compliant.
Situation: California’s Consumer Privacy Act inspired Comcast to evolve the way in which they protect the privacy of customers who consent to share personal information with them.
Situation: Integrate.ai’s AI-powered tech helps clients improve their online experience by sharing signals about website visitor intent. They wanted to ensure privacy remained fully protected within the machine learning / AI context that produces these signals.
Situation: Novartis’ digital transformation in drug R&D drives their need to maximize value from vast stores of clinical study data for critical internal research enabled by their data42 platform.
Situation: CancerLinQ™, a subsidiary of American Society of Clinical Oncology, is a rapid learning healthcare system that helps oncologists aggregate and analyze data on cancer patients to improve care. To achieve this goal, they must de-identify patient data provided by subscribing practices across the U.S.
Situation: Needed to enable AI-driven product innovation with a defensible governance program for the safe and responsible use
of voice-to-text data under Shrems II.
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