The use of machine learning algorithms to study the competitiveness of organizations in a digital economy. Monograph. Beskhmelnov M.I.

The transition from paper media to digital, caused by the widespread use of information and telecommunication technologies, opens up prospects for working with an ever -increasing amount of information and the possibility of extracting knowledge from a weakly constructed data array. Despite the relatively short period of active use of digital media in the industry, the amount of data on them is growing year from year to geometric progression, which is a consequence of the transformation and transfer of data from various areas of human life into digital form. By 2016, the accumulated amount of data was estimated at 16 Zettabayt, but according to the forecasts of the IDC analytical company by 2025, the volume of all data will reach 163 zettabytes.

In this regard, ways of storage, processing, searching for the forefront and extracting knowledge from data. This technology is called the through digital technology "Big Data". By 2024, the state intends to carry out a comprehensive digital transformation of the economy and social sphere of Russia.