TECHNOLOGY
Title of the video
In the Grip of Data Gravity All this data - being generated by smart water meters , smart doorbells , even smart screwdrivers - is collected as part of massive data sets which , as McCrory noted over a decade ago , are very hard to move around . Data centres are seeing demand rise to unprecedented levels as a result , which is driving the increased adoption of public cloud , spectacular growth across the hyperscale industry , and the expansion of edge networks in order to create the necessary tools to capitalise on the vast amounts of information being generated .
AI will be essential in transforming huge modern data sets into useful insights , as well as parsing which data to keep and , perhaps most importantly , where it should be kept . If enterprises can achieve a synergistic relationship between their data and their AI applications , the possibilities are virtually endless . However , finding the right strategy to apply and execute using AI is not always a clear cut issue .
Where the AI lives “ All AI starts with data , and analysing it requires a lot of accelerated computing . Most
92 April 2021