Selecting the right storage architecture is essential for organisations that are leveraging Artificial Intelligence (AI), Machine Learning (ML), Big Data and IoT analytics. For example, AI applications that involve scientific and medical research create and interact with numerous large files, and therefore need a storage system that can scale to a petabyte level, with zero restrictions. Similarly, ML applications and Big Data projects require a scalable, cost-effective storage solution to accommodate the high volumes of data that will be produced. This raises the question of which storage solution enterprises should use to underpin their overall analytics strategies.