Shaping Strategy Through Trustworthy Data Sharing & Analytics
CDOs are driving the adoption of enterprise-wide governance and the utilization of information as an asset, as well as the organization’s data sharing & analytics strategy. This ensures the highest levels of accountability in driving meaningful impact through data sharing & analytics that are safe, useful, and timely. However, managing large data programs can at times limit what methods and technologies are adopted to create trustworthy data sharing & analytics. Emerging technologies for preserving privacy often lack the efficiency and scalability that are expected by the enterprise. What can we learn from organizations that are successfully driving the adoption of trustworthy data sharing & analytics? How do privacy regimes and regulators align with the realities of the modern and future enterprise?
Successful organizations working with sensitive data need to recognize:
Join author Luk Arbuckle of Privacy Analytics, one of the world’s leading data transformation companies, as he discusses the future of regulation and best practice in the safe and responsible use of sensitive data with Stephen Bonner, Executive Director of Regulatory Futures and Innovation at the Information Commissioner’s Office, and Stephen Bamford, Head of Clinical Data Standards & Transparency at Janssen Research & Development.
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.