Artificial Intelligence to Improve the Business Efficiency and Effectiveness for Enterprises in Kazakhstan

• Main Authors: Mohamed Hamada, Daniya Temirkhanova, Diana Serikbay, Sanzhar Salybekov, Saltanat Omarbek
• Format: Article
• Language: English
• Published: UIKTEN 2021-03-01
• Series: SAR Journal
• Subjects: artificial intelligence; digital transformation; artificial intelligence in business; applications; technologies.
• Online Access: http://www.sarjournal.com/content/41/SARJournalMarch2021_34_41.pdf

The main objective of the research is identifying the effectiveness of artificial intelligence in the business sphere of Kazakhstan. The urgency of this problem is due to the fact that the Kazakhstani market for artificial intelligence is at the initial stage of development. The main obstacle to the introduction of artificial intelligence is the unpreparedness of managers of small and medium-sized businesses for the application of artificial intelligence technologies and, of course, the high cost of their implementation. In the study, we proceeded from the key thesis that business in Kazakhstan is striving for digital transformation. We set a goal to determine the attitude and degree of readiness of Kazakhstani business to the implementation and practical application of artificial intelligence, to describe the cases of using artificial intelligence by Kazakhstani business, to identify the main questions that arise in business at this stage, to study the legal aspects of using artificial intelligence in business and to present the big picture compliance / inconsistency of the existing legal framework with the goals and objectives of the development of artificial intelligence, provide recommendations for eliminatinge xisting barriers and stimulating businesses to implement the technology. Within the framework of this study, the concept of artificial intelligence is defined in its broadest sense - as a set of technologies for processing various types of data and information, in particular those capable of interpreting such data, extracting knowledge and using it to achieve certain goals.