Luk Arbuckle
Chief Methodologist
Developing a Data-Sharing Leadership Playbook
Date of Event: July 19, 2021
Location: Virtual Event
Join us for an invite-only, executive roundtable on safely sharing sensitive data to drive innovation. The event takes place July 19 from 1 pm to 3 pm ET. It will be hosted by Richard Y. Wang, Founder & Director of the MIT CDOIQ program, and moderated by Sarah Lyons, Head of Privacy Analytics, and globally renowned data privacy expert, Luk Arbuckle.
Sarah and Luk, along with a group of expert panelists, spanning multiple industries, will lead a dynamic, interactive discussion focused on defensive strategies to govern data and limit risk, and offensive strategies to drive business opportunities and realize new value.
Following the 90-minute roundtable will be a 30-minute reflection period, where panelists and attendees will discuss their own approaches to data-sharing challenges, how they evaluated trade-offs, and why they chose one approach over another.
This event is right for you if you’re…
Registration is open exclusively to executives leading the data or analytics agenda of a private- or public-sector organization and seats are limited. If you aren’t sure whether this event is right for you then please contact Ann Clemensen at aclemensen@privacy-analytics.com.
Event registration is now closed.
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.