Gen AI has the potential to transform the drug discovery field. However, these  models need to be trained with quality datasets before they can be productionized. Using an inadequately trained model in this context can result in inaccurate predictions, unviable outcomes, and significant project expenses. In this session, Dr. Jha discusses the importance of data quality in training Gen AI models and its role in enhancing the robustness and reliability of target prediction in the pharmaceutical industry.