Big Data: changes in 2018
2018-07-06T15:23:37.803Z6 July 2018

Big Data: changes in 2018

The turnover of the Big Data market will continue to grow this year with a 15% growth rate. More and more companies are convinced of the efficiency of use and the ability to generate information useful for the profitability and growth of the company.

Search and staff training

Now enterprises are beginning to retrain specialists in order to get employees who understand the language and methods of working with Big Data. To succeed in this rapidly developing knowledge base is not easy and requires additional infrastructures. At what the new trend is the training of work with Big Data not only IT specialists, but also employees of all departments from accounting to marketing department.

Already there is a strong tendency to lose market share by those companies that are not able to implement and take advantage of the Big Data. Therefore, I wish to increase the productivity of work. Now the leading companies are ready to expand their staff.

AI as a minystream

The complexity and integration process of AI poses a new challenge for companies, which they must take in order to satisfy the end user's needs. For the end user, AI has already become part of everyday life and a necessarily attribute for communication. In 2018, Dell plans to integrate artificial intelligence into real life. After several years of active research and development, Dell EMC will introduce enterprises to new methods of machine and deep learning.

The blockсhain technologies will be improved

Most users are not sure about the security of their data and express their distrust of Big Data. Recently recognized Facebook leaks only confirmed the fears of people and companies. Therefore, it is not surprising that in 2018 the blockсhain technology are experiencing a development boom. The fragmentation of information storage protects the security of personal data processed by Big Data. In 2018, in areas where there are transactions with large data, for example, in the banking and healthcare sectors, more sophisticated methods of implementing block-technology will be used.



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