There's been more than a little discussion of artificial intelligence (AI) in healthcare, lately, but in addition to – or, perhaps, on a more fundamental than – the myriad insights AI is expected to offer healthcare providers is the impact it's going to have on organizations' IT infrastructure. As a recent report from Tractica puts it, "while organizations are clearly recognizing the value associated with incorporating AI into their business processes, they are also encountering a number of challenges with integrating this new intelligence into operational processes." "Enabling AI at the enterprise scale is not a plug-and-play proposition," Tractica Principal Analyst Keith Kirkpatrick said in a statement. "Significant time, resources, and capital must be deployed, and in most cases, internal company teams are not experienced enough with AI, nor do they have the cutting-edge data science skills to adequately embark upon a truly transformational AI implementation." For health IT managers, among the inevitable decisions is whether their organization's storage systems are going to be able to handle the infrastructure changes needed to process and store new amounts and kinds of data.