Hear from European Data Leaders on Compliance, Ethics and Data Governance
Advances in science and IT have raised expectations for both physicians and patients. To keep up, life sciences organizations look to AI, machine learning and advanced analytics to ensure high-quality, actionable data insights for:
- Efficiencies and cost savings
- Faster R&D and time to market for life-saving products and therapies
- Increased market share
With innovation, however, comes an array of business, regulatory, legal, technological and ethical challenges.
Recently, Cognizant and Informatica met with senior data leaders from some of Europe’s biggest life sciences organizations. Check out this summary of the issues discussed and potential solutions.
You’ll learn the:
- Three regulatory baselines an AI data solution must meet as well as the implications of the proposed Artificial Intelligent Act
- Ethics issues involved with data privacy, security, fairness and transparency
- Importance of breaking down silos to improve access to critical, reliable data and data governance best practices