Synthetic data serves as an influential instrument in producing plausible and varied datasets, valuable for the training of machine learning models. However, questions regarding its reliability and ethics remain. What are the advantages and potential hazards of utilizing synthetic data in fields such as healthcare and finance? How can we safeguard the quality and confidentiality of synthetic data? Participate in this session to understand why the advancement of AI might be hinged on the use of artificially manufactured data, otherwise known as synthetic data.