AI & The Global Data Quality Imperative

By Steve Gens & Remco Munnik

Life sciences companies are well aware of the huge potential of emerging technologies, including artificial intelligence/machine learning (AI/ML), for transforming the efficiency and efficacy of regulatory submissions and ongoing license management.

The potential for process innovation is considerable, from automated document preparation to the introduction of timely prompts and alerts when submission/renewal deadlines are approached, or required parameters have not been met. However, in their enthusiasm to harness such options, companies can seriously underestimate the work required to improve the quality and governance of the underlying data such systems will be working from. Here are five data governance prerequisites for AI-enabled transformation of regulatory information management and content preparation.