Review of Artificial Intelligence and Machine Learning Technologies Classification

Artificial intelligence (AI) represents a dynamic set of technologies designed to address various practical problems. At its core, AI relies on machine learning (ML), which employs intricate algorithms to tackle classification, clustering, and forecasting challenges. The potential applications of AI and ML are quite promising, prompting intensive research in this field. However, widespread industrial and societal utilization of AI remains limited. The obstacles to broader AI adoption must be examined from both internal AI-related issues and external societal factors. Addressing these challenges is essential to realizing the full potential of AI technologies in industry and society. This paper identifies and discusses the hurdles to implementing AI technologies in economies and societies heavily reliant on resources. The categorization of AI and ML technologies is based on existing publications, enabling us to pinpoint organizational, personnel, social, and technological constraints. The paper also outlines research directions in AI and ML aimed at mitigating these limitations and expanding the applications of AI and ML.