Head of Privacy Analytics
Gain the confidence to safely use and share sensitive data (with our advisory services)
Your organization’s sensitive data is a powerful and valuable resource. But using it in a way that fails to protect individual privacy under regulations such as GDPR, HIPAA, and CCPA can lead to hefty fines, lost business, and reputational damage.
On the other hand, sheltering your data – and not putting it to work for decision-making or innovation – leaves value on the table.
Either scenario – leveraging data without protecting privacy or holding data back instead of using it – can result in a loss of stakeholder trust.
To lead in a competitive marketplace, and gain a greater advantage, you need solutions that allow you to safely use and share sensitive data, without risking privacy.
Join Sarah Lyons, Head of Privacy Analytics, for an informative, 15-minute presentation, discussing the ways your organization can leverage our expert advisory services to:
Sarah helps Privacy Analytics’ clients earn trust and execute on their use priorities. Her career has often involved developing and implementing innovative risk assessment methodologies for governments and Fortune 500 companies. She has worked with decision makers at the highest level to identify and address financial, political and/or reputational risk before any harm could be done to the organization. Her previous roles include Partner and National Privacy Services Leader at MNP LLP, COO of A Hundred Answers Inc., and IT Risk Advisory Practice Lead for Ernst & Young Ottawa.
Head of 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 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.