There are generally two stages of AI processes, training and production. Modern storage is especially critical for the first. An example of a training process might be a healthcare research center that wants to use decades of medical imaging data to train an AI system, ultimately to help radiologists better interpret MRI images for future patients. The training phase may take months, because it takes a great deal of computing and data to build AI-powered solutions with more intelligence.
