Humanities & Social Sciences 12 (2016 9) 3037-3043 ~ ~ ~ УДК 05.95 Acceleration of Technological Progress and Potential for “Big Data” in Personnel Management Leonid A. Vorob’ev and Yuri N. Belokopytov* Siberian State Technological University 82 Mira, Krasnoyarsk, 660049, Russia Received 15.06.2016, received in revised form 19.08.2016, accepted 17.11.2016 The article describes the possible prospects of Big Data and technology changing the world we live in. <...> The authors foresee two vectors for development everything connected with Big Data, namely the emergence of a number of computing devices and corresponding power amplification. <...> To illustrate these processes the authors used the term acceleration and Moore’s law which says that as a result of technological progress power of computing devices will double every two years. <...> As a consequence, the technology applying Big Data will be included in all spheres of our life, including HR. Keywords: management, HR, big data, business, technology, computers, human resources, future, progress. <...> Peter Norvig, an expert on artificial intelligence at Google, first worked at NASA’s Jet Propulsion Laboratory, likes to make the Leonid A. Vorob’ev, Yuri N. Belokopytov. <...> To begin with, he offers to have a look at the rock paintings of horses in the Lascaux Caves in France made in the Paleolithic era (17 thousand years ago). <...> Then he suggests looking at the photo of a horse or, what is better, at the work of Pablo Picasso’s brush that is not too different from the rock painting. <...> And what opportunities arise through the use of Big Data analysis? <...> All search systems are based on machine learning using Big Data; they show ten links that you need the most on the basis of the other users’ behavior, i.e. when you ask a question, it is likely someone has already asked it and there is an answer already, as the system examines the responses of others to provide you with the correct answer. <...> Let us turn to the translation system, when we translate from one language to another. <...> Twenty years ago, the translation system was a complex linguistic structure, because there was no access to large amounts of data and to already existing <...>