Brian Rasquinha
Associate Director, Solution Architecture, Privacy Analytics
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Linkage, Tokenization and De-identification
Replay of live webinar by Privacy Analytics
Date of Event: May 23, 2024
In this webinar, Brian Rasquinha, Associate Director of Solution Architecture at Privacy Analytics dives into tokenization and data de-identification to further your understanding of privacy-preserving data practices.
Watch this replay of our webinar to learn about tokenization and how it can be used to match individuals without exposing key identifiers, the risk of re-identification and how it can increase when de-identified data assets are linked (even with private tokenization) and explore cryptographic key management and how it can help you control use of your data even after it leaves your environments, and combining these concepts into a workflow that you can use to review a planned data release to ensure these considerations are satisfied.
Replay of live webinar by Privacy Analytics
Date of Event: May 23, 2024
In this webinar, Brian Rasquinha, Associate Director of Solution Architecture at Privacy Analytics dives into tokenization and data de-identification to further your understanding of privacy-preserving data practices.
Watch this replay of our webinar to learn about tokenization and how it can be used to match individuals without exposing key identifiers, the risk of re-identification and how it can increase when de-identified data assets are linked (even with private tokenization) and explore cryptographic key management and how it can help you control use of your data even after it leaves your environments, and combining these concepts into a workflow that you can use to review a planned data release to ensure these considerations are satisfied.
Brian draws on his expertise in privacy regulation and anonymization to determine what combination of Privacy Analytics’ services and software will best support the immediate and long-term needs of each of our clients. Successful implementation is Brian’s key focus, whether the client’s goal is to use sensitive data to improve service delivery, drive product development or grow revenue.
Brian Rasquinha
Associate Director, Solution Architecture, Privacy Analytics
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 ensure the primary market research process was fully compliant with internal policies and regulations such as GDPR.
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.
This course runs on the 2nd Wednesday of every month, at 11 a.m. ET (45 mins). Click the button to register and select the date that works best for you.