MIT CDOIQ Symposium 2019 Summary
Globally renowned data privacy expert Luk Arbuckle – co-author of Anonymizing Health Data (O’Reilly Media) – co-moderated this invite-only, half-day deep dive into the complex topic of bridging the gap between using your data assets to create operational efficiencies and safely leveraging sensitive data to gain competitive advantage.
Nearly 20 data, analytics and privacy leaders gathered to learn and weigh in with representation from industries spanning healthcare, banking, retail, and media.
C-level alignment, corporate culture (data literacy, risk aversion), and determining which data is worth keeping are some of the overarching themes that emerged from the day’s conversations.
Download the free summary of this insightful discussion.
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.
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.