Privacy Analytics > Resources > Webinars > MIT CDOIQ Symposium Panel Session – Safely Turn Sensitive Data into Business Opportunity
MIT CDOIQ Symposium Panel Session - Safely Turn Sensitive Data into Business Opportunity
How can companies leverage the increasing business value of the sensitive data they manage (without running afoul of statutory regulations, or stakeholder trust)?
Our panelists engage in a deep-dive discussion focused on safely turning sensitive information into opportunities for innovation and data commercialization. Due emphasis will be placed on key data privacy issues including safe data sharing and protecting the privacy of people represented in sensitive data sets.
This session is right for you if…
Joseph Zabinski, PhD is Director of Data Solutions at OM1, where he leads the commercialization of OM1’s artificial intelligence solutions across the life sciences and healthcare sectors. Joe’s work focuses on applications of AI to healthcare data to derive insights, predict outcomes, and support decision-making. He has specific expertise in the development and deployment of data-driven predictive tools that are ‘explainable’ to clinicians, executives, and patients.
Joe Zabinski
Director of Data Solutions | OM1
As vice president and general manager of Clinical, Data and Provider Solutions, Dr. Nowak closely collaborates with the Express Scripts Personal Health Solutions team and Therapeutic Resource Center (TRC) specialist pharmacists, researchers and decision designers to implement programs and protocols to continually improve health outcomes for members.
Lynne Nowak
VP & GM Clinical, Data & Provider Solutions | Express Scripts
Tom leads a 50+ person Data and Analytics business unit with the mission of constructing and maintaining a purpose-built information management environment, governed and utilized by teammates at all levels of the enterprise, where trusted and increasingly intelligent insights are produced.
Tom Henry
Chief Data Officer | Schnuck Markets
Luk provides strategic leadership to our clients and to our organization on how to responsibly share and use data. He draws from an extensive background in statistics, data science and anonymization, and from having worked on the regulatory side as Director of Technology Analysis at the Office of the Privacy Commissioner of Canada. Clients rely on Luk to help define the architecture that will enable them to meet their privacy obligations while supporting innovative and scalable uses of their data.
Luk Arbuckle
Chief Methodologist
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.