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White Papers
November 25, 2021
The right data masking technology is critical to safely unlocking the value of your organization’s sensitive data for uses beyond its original intended purpose – without compromising personal information.
Webinars
Date of Webinar: November 3, 2021
November 12, 2021
Watch our LinkedIn Live Event recorded November 3, 2021, featuring a fireside chat with Len Usvyat, Vice President, Applied Data Science, Biostatistics, and Epidemiology at Fresenius Medical Care.
Case Studies
October 29, 2021
Nuance Communications provides AI solutions that understand and respond to human language, making it easier for people to connect and interact with each other...
Webinars
Date of Webinar: October 14, 2021
October 27, 2021
Data and transparency leaders in the pharma industry are increasingly embracing the digital shift toward reusing clinical trial data for new benefits, including future trial design. Watch our webinar to find out how you can get more value from your organization’s clinical trial data.
Webinars
Date of Webinar: October 6, 2021
October 25, 2021
Your organization’s sensitive data is powerful. But failing to use it safely – or failing to use it at all – can lead to reputational damage and loss of trust. When leveraging data derived from people, you can’t have a strong offense without a strong defense. Find out how your organization can move forward safely and with confidence, earning trust from stakeholders, in this live webinar.
Events
Date of Event: November 3, 2021
October 13, 2021
If you’re looking to safely use and share your organization’s sensitive data while earning trust from stakeholders, this LinkedIn Live Event is for you. Join Sarah Lyons, Head of Privacy Analytics, in a fireside chat with Len Usvyat, Vice President, Applied Data Science, Biostatistics, and Epidemiology at Fresenius Medical Care. They’ll be discussing ways to cut through the complexities of the data privacy landscape to help you move forward with confidence when leveraging data derived from information about people.