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Conference object . 2025
License: CC BY
Data sources: ZENODO
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Article . 2025
License: CC BY
Data sources: Datacite
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ОПТИМИЗАЦИЯ БИЗНЕС-ПРОЦЕССОВ С ПОМОЩЬЮ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В МАЛОМ И СРЕДНЕМ БИЗНЕСЕ

ОПТИМИЗАЦИЯ БИЗНЕС-ПРОЦЕССОВ С ПОМОЩЬЮ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В МАЛОМ И СРЕДНЕМ БИЗНЕСЕ

Abstract

В данной статье исследуется потенциал использования искусственного интеллекта для повышения эффективности и оптимизации бизнес-операций в малых и средних предприятиях. Рассматриваются ключевые направления применения ИИ, включая автоматизацию рутинных задач, анализ данных для принятия обоснованных решений и улучшение взаимодействия с клиентами. Приводятся примеры успешной интеграции ИИ в бизнес-процессы, а также выявляются основные вызовы, с которыми сталкиваются МСП. Результаты исследования могут быть полезны предпринимателям, исследователям и специалистам в области бизнеса, заинтересованным во внедрении ИИ для обеспечения устойчивого роста и развития в условиях быстро меняющейся экономической среды.

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    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green