Skip to content
DSML.KZ
Publications

Article · Mathematics · July 22, 2022

Review of Artificial Intelligence and Machine Learning Technologies: Classification, Restrictions, Opportunities and Challenges

Ravil I. Mukhamediev, Yelena Popova, Yan I. Kuchin, Elena Zaitseva, Almas M. Kalimoldayev, Адилхан Сымагулов

Yan Kuchin
Open via DOIPDF

Abstract

Artificial intelligence (AI) is an evolving set of technologies used for solving a wide range of applied issues. The core of AI is machine learning (ML)—a complex of algorithms and methods that address the problems of classification, clustering, and forecasting. The practical application of AI&ML holds promising prospects. Therefore, the researches in this area are intensive. However, the industrial applications of AI and its more intensive use in society are not widespread at the present time. The challenges of widespread AI applications need to be considered from both the AI (internal problems) and the societal (external problems) perspective. This consideration will identify the priority steps for more intensive practical application of AI technologies, their introduction, and involvement in industry and society. The article presents the identification and discussion of the challenges of the employment of AI technologies in the economy and society of resource-based countries. The systematization of AI&ML technologies is implemented based on publications in these areas. This systematization allows for the specification of the organizational, personnel, social and technological limitations. This paper outlines the directions of studies in AI and ML, which will allow us to overcome some of the limitations and achieve expansion of the scope of AI&ML applications.

Artificial Intelligence ApplicationsImpact of AI and Big Data on Business and SocietyInternet of Things and AIartificial intelligencemachine learningclassification

More by Yan Kuchin