Optimizing the use / analysis of data to achieve your organization’s intended outcomes with measured success?
Reduce / minimize risk of bias in your data for machine learning.
Ensure transparency, fairness, and AI ethics / compliance.
Ensure data ethics & compliance in your data models and results.
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.
Are you empowering people to safely leverage trusted data?
Do you need help...
Maintaining / processing data securely and efficiently to promote data enablement with auditable proof of compliance?
Security / compliance efficiency
Creating synthetic versions of data to be used for innovation / AIML.
Applying data minimization principles to reduce your risk exposure.
Transforming your data for secondary uses and access.
Client: ASCO’s CancerLinQ
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.