AI, by which we mean predominantly machine learning (ML) of some form, is integral to the ambition of 5G to complete the transformation of mass mobile communications from a voice only medium to deliverer of high performance computing at the point of use or need. The two dovetail best at the edge of the wireless network in many cases, because that enables a number of analytics processes to be executed in timely fashion without overwhelming the wider infrastructure or incurring unacceptable bandwidth costs. There are also various other issues such as security and data privacy that impinge on decisions over where to locate compute resources for specific tasks or use cases. Casual readers of white papers and analyst reports might…