Pharmaceutical Quality Management Trends: Adopting Intelligent Solutions

By Ave Anderegg

New technology is traditionally considered to be disruptive and often meets with financial, operational, training, and adoption resistance. In the case of artificial intelligence (AI), however, this new technology is seen as a business driver rather than a cost liability – even in downturns.

Here we cover how to optimize pharma quality management data and design, themes to keep in mind when embedding AI into QMS, and three practical ways you can lay the foundation for implementing AI technology solutions.