Full Article: PDF
Scientific Object Identifier: http://s-o-i.org/1.1/TAS-09-137-7
DOI: https://dx.doi.org/10.15863/TAS.2024.09.137.7
Language: English
Citation: Pshychenko, D. (2024). Development and analysis of algorithms for solving specific business tasks using AI. ISJ Theoretical & Applied Science, 09 (137), 31-36. Soi: http://s-o-i.org/1.1/TAS-09-137-7 Doi: https://dx.doi.org/10.15863/TAS.2024.09.137.7 |
Pages: 31-36
Published: 30.09.2024
Abstract: The article discusses the development and analysis of artificial intelligence (AI) algorithms for solving specific business tasks. The stages of algorithm development are explored, from problem definition and data collection to model selection and training. The adaptation of algorithms to various industries, such as finance, healthcare, retail, and manufacturing, is analyzed, taking into account their specific requirements. Examples of successful AI applications for optimizing business processes and improving operational efficiency are provided. The article emphasizes the importance of developing algorithms tailored to the unique challenges of each business.
Key words: artificial intelligence, AI, business tasks, problem-solving algorithms, optimization, machine learning, ML, data analysis, adaptation.
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