Developing a Data-Sharing
Which strategies do you use to bolster your organization’s data-sharing initiatives? Are they primarily defensive or offensive? Which approach works best?
Download this event summary to find out. It’s packed with key insights from an event held on July 19, 2021, that featured five senior-level data and analytics leaders from government and private industry.
You’ll learn defensive strategies to govern data and limit risk, and offensive strategies to drive business opportunities and realize new value.
The event was hosted by MIT Chief Data Officer & Information Quality program and 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 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.