SHS Web Conf.
Volume 93, 20213rd International Scientific Conference on New Industrialization and Digitalization (NID 2020)
|Number of page(s)||5|
|Section||Modern Management Technologies and the Development of Knowledge-Intensive Activities|
|Published online||12 January 2021|
Artificial Intelligence in Corporate Governance Systems
1 Chechen State University, 364024 Grozny, Russia
2 Grozny State Oil Technical University, 364061 Grozny, Russia
The presence of a direct causal relationship between management decisions and the analytical and research role of information allows us to prove the strategic importance of information resources. Typically, the need for data is considered at the management level of a company or organization. This position indicates the unambiguity of the confirmation regarding the results of the analyzed data and the possibility of their monetization. Information data is a kind of fundamental basis, demanded by the key structural links of any company. Information serves as an effective identifier of the company's potential opportunities and probable losses in an unstable business environment, as well as quality support from strategically significant initiatives. Of no small importance today is attached to the possibilities of joint application of relevant information on the part of all divisions of the company in order to react as quickly as possible to the transformation of the economic space. It should be noted that information is a kind of asset, the level of efficiency of which is especially important for successful activity. The article discusses artificial intelligence in corporate governance systems.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.