stdClass Object
(
    [id] => 15963
    [paper_index] => 202505-04-021407
    [title] => THE IMPACT OF ARTIFICIAL INTELLIGENCE ON THE EFFICIENCY OF FINANCIAL ANALYTICS
    [description] => 
    [author] => Moroz Karyna
    [googlescholar] => 
    [doi] => https://doi.org/10.36713/epra21407
    [year] => 2025
    [month] => May
    [volume] => 13
    [issue] => 5
    [file] => fm/jpanel/upload/2025/May/202505-04-021407.pdf
    [abstract] => This article examines the impact of artificial intelligence on the efficiency of financial analytics. Important aspects of artificial intelligence application are explored, including the automation of routine operations, improvement of forecasting accuracy, risk management, and personalization of customer experience. The analysis focuses on how modern technologies such as machine learning, big data processing, and predictive analytics are transforming traditional approaches to financial information processing. Examples of successful artificial intelligence implementation in companies are provided. Limitations related to model interpretability, compliance with ethical standards, and data confidentiality are also discussed.
    [keywords] => Artificial Intelligence, Financial Analytics, Machine Learning, Big Data Processing, Forecasting, Risk Management.
    [doj] => 2025-05-12
    [hit] => 
    [status] => 
    [award_status] => P
    [orderr] => 12
    [journal_id] => 4
    [googlesearch_link] => 
    [edit_on] => 
    [is_status] => 1
    [journalname] => EPRA International Journal of Economic and Business Review(JEBR)
    [short_code] => IJES
    [eissn] => 2347-9671 (O), 2349-0187(P)
    [pissn] => 
    [home_page_wrapper] => images/products_image/12.JEBR.png
)
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