SHS Web Conf.
Volume 110, 2021International Conference on Economics, Management and Technologies 2021 (ICEMT 2021)
|Number of page(s)||7|
|Published online||11 June 2021|
Artificial Intelligence as Effective Digital Transformation Legal Means of Business, Management, Economy and Technology
1 Kutafin Moscow State Law University (MSAL), Department of Business and Corporate Law, Moscow, Russia
2 Moscow University for Industry and Finance “Synergy”, Department of Legal Disciplines, Moscow, Russia.
3 Moscow Finance and law University (MFUA), Department Civil law disciplines, Moscow, Russia
* Corresponding author: email@example.com
Currently, entrepreneurial and professional activities are being transformed towards digital business, management, economics and technology, which are viewed through the prism of four new technological areas: artificial intelligence, blockchain, cloud technologies and data analytics. Therefore, we will use multidisciplinary approaches that show how digital tools affect all areas of business processes, management and economics.
Purpose of the study: to determine the role and importance of artificial intelligence for building an effective model of business, management, economy and technology transformation, business and professional activities in the context of law and society digital transformation.
Methods: The methodological basis of this work was general scientific methods of cognition of legal phenomena, such as synthesis, the method of analogy, formal logic and others, as well as specific scientific methods for studying the category of artificial intelligence in the field of entrepreneurial and professional activity.
Results and novelty: To achieve the goals of using AI, it can be described as follows: the first step is to use big data, the second is to apply analytics, and the third is forecasting. AI is used to collect and store data for analysis and further forecasting. Companies in IT, marketing, finance, accounting and sales are using AI to become more competitive and efficient.
© 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.
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