One of the major side effects of the massive increase in the use of artificial intelligence (AI) for basic research, translational research, clinical research, pharmaceutical development, and patient care is the tsunami of data that will be created. All of this data needs to be stored somewhere, whether on-premises or in the cloud—or, ideally, in a combination of the two for IT to get the best of both worlds.