Статистическите методи за анализ на неструктурирани данни като част от арсенала на изкуствения интелект
Statistical Methods for Analyzing Unstructured Data as Part of the Arsenal of Artificial Intelligence

Author(s): Bilyana Goleshova
Subject(s): Social Sciences, Economy, Business Economy / Management, Sociology, Methodology and research technology, ICT Information and Communications Technologies
Published by: Университет за национално и световно стопанство (УНСС)
Keywords: unstructured data; artificial intelligence; statistical methods; processing and analysis
Summary/Abstract: The constantly growing volume of unstructured data (in text, images, audio and video) affecting all spheres of socio-economic life in the modern world, combined with the advent of artificial intelligence and its increasingly frequent use, direct human thought to the question: What is the role of artificial intelligence (AI) in the processing and analysis of unstructured data? On the other hand, the mention of concepts such as „data“, „processing“ and „analysis“ directs us to statistical science and therefore to the role of statistical methods in the analysis of unstructured data. Therefore, this paper focuses on the mean statistical methods for analyzing unstructured data in the context of AI. It presents key statistical techniques used to process and interpret different types of unstructured data. Challenges and future directions in the use of statistical methods for analyzing unstructured data in AI are discussed. Finally, it was concluded that the importance of statistical methods for analyzing unstructured data as part of the AI arsenal is undeniable and that statistical methods are the foundation for developing reliable, accurate, and clear AI models. The other conclusion that was drawn is that ongoing research in the field of statistical methods and machine learning provides reliable future predictions for developments in the field.

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