The traditional approach to quality in the life sciences has mainly been focused on control and standardization. As the industry continues to evolve, companies are finding it necessary to incorporate flexibility and improved collaboration into their quality management methodologies. These shifts are creating exciting opportunities to leverage emerging technologies like artificial intelligence, machine learning and natural language processing for data collection, analysis and connectivity.