ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING APPLICATIONS IN MODERN INFORMATION SYSTEMS
DOI:
https://doi.org/10.5281/zenodo.20796697Abstract
The rapid development of Artificial Intelligence (AI) and Machine Learning (ML) technologies
has significantly transformed modern information systems across various sectors. This study aims to analyze
the role, applications, benefits, and challenges of AI and ML in contemporary information systems. The
research methodology is based on a systematic review of scientific literature, comparative analysis of existing
AI applications, and evaluation of their effectiveness in business, healthcare, education, cybersecurity, and
public administration. The results indicate that AI and ML contribute to improved decision-making, automation,
operational efficiency, and predictive analytics. However, challenges related to data privacy, algorithmic bias,
and ethical considerations remain significant barriers to wider adoption. The study concludes that successful
integration of AI and ML technologies requires comprehensive data governance policies, advanced infrastructure,
and continuous development of human competencies
Keywords
artificial intelligence, machine learning, information systems, data analytics, automation, deep learning, neural networks, decision support systems, predictive analytics, digital transformationReferences
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