The famous quote “perfection is the enemy of the good” is rarely applied to artificial intelligence in the life sciences industry. Despite concerns and hesitancy, organizations are turning to automation and generative artificial intelligence (GenAI) to address data management challenges and improve efficiency. However, hesitancy remains due to risks such as bias, lack of reliability, and data privacy concerns. Proper implementation of GenAI, with human oversight, validation, and continuous training, can provide significant benefits in pharmacovigilance and other areas of the life sciences industry. While concerns are understandable, embracing GenAI can lead to valuable insights and advancements, ultimately improving scientific discovery.
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