Innovate Throughout the Data Life Cycle
Date of Event: July 18, 2022
Location: Boston Marriott Cambridge, Cambridge, Massachusetts
Time: 1 p.m. ET (3 hour workshop + 1 hour networking)
Invitation Only – Part of the 2022 CDOIQ US Symposium
Are you looking to turn roadblocks in your data life cycle into opportunities for innovation? Then don’t miss your chance to request an invitation for Innovate Throughout the Data Life Cycle, presented by Privacy Analytics as part of the 2022 CDOIQ US Symposium.
This exclusive, in-person event for senior-level executives working in data, analytics, privacy, or legal roles, at either private or public sector organizations, is happening the day before the Symposium, on Monday, July 18 at 1 pm ET (3h Workshop + 1h Networking). You can request an invitation here.
You’ll hear from two accomplished data leaders, sharing how they turned sensitive information into opportunity for their organizations and society, breaking through specific barriers in the data life cycle:
The foundation of our discussion will be the specific set of knowledge, experience, and tools required to innovate with sensitive data. You’ll have a chance to participate in two guided simulations to overcome real-world blockages in the data life cycle.
The July 18 executive event is right for you if you’re a senior-level data, analytics, privacy, or legal leader looking to…
Event registration is now closed.
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.