The life sciences industry can optimize data insights to improve pharmacovigilance processes using AI, ML, and Natural Language Processing. Clinical trials are necessary to bring new treatments to patients. Well-crafted trials are key to ensuring the safety of patients and the ultimate viability of new drugs. Contrary to what many might assume, the drug development cycle does not end once a product has been approved and brought to market. Life science organizations are constantly monitoring the efficacy and safety of a drug once it is being used by patients – this practice is commonly known in the life science industry as pharmacovigilance (PV).