Top 5 Data Privacy Challenges
In today’s rapidly evolving data landscape, staying ahead of privacy challenges is crucial for any organization. This guide offers practical solutions to the most critical privacy issues, building robust data protection strategies that are compliant.
You’ll gain valuable insights into effective privacy program management, helping you streamline cross-functional projects and align stakeholders seamlessly. With expert guidance on navigating global privacy laws, you’ll remain well-informed and prepared for any regulatory changes.
Furthermore, this guide explores advanced methods for data de-identification and anonymization, equipping you with the tools to confidently validate your data protection measures. This piece also reveals strategies for securely linking diverse data sources and managing emerging data types, like unstructured data, effortlessly.
Arm yourself with the expertise and tactics necessary to address privacy challenges directly and uphold your organization’s reputation for data integrity and security.
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.
