Decision points in storage for artificial intelligence, machine learning and big data

Data analytics has rarely been more newsworthy. Throughout the Covid-19 coronavirus pandemic, governments and bodies such as the World Health Organization (WHO) have produced a stream of statistics and mathematical models. Businesses have run models to test post-lockdown scenarios, planners have looked at traffic flows and public transport journeys, and firms use artificial intelligence (AI) to reduce the workload for hard-pressed customer services teams and to handle record demand for e-commerce. Even before Covid-19, industry analysts at Gartner pointed out that expansion of digital business would "result in the unprecedented growth of unstructured data within the enterprise in the next few years". Advanced analytics needs powerful computing to turn data into insights.