Implementing AI Accuracy, Learning Rate, Inference Time on enhancing Big Data Analysis and Strategic Plan

Ahmad Hanandeh, Saleh Yahya ALFreijat, Rania J. Qutieshat, Hamzeh yuosef Alsha’ar, Qais AL Kilani and Mohamad Ahmad Saleem Khasawneh

Data and Metadata, 2025, vol. 4, 637

Abstract: Introduction: This study aims to focus on the role of artificial intelligence tools and capabilities such as artificial intelligence accuracy, learning rate and inference time in influencing big data analysis and building strategic plans at Zain Jordan Telecommunications Company. Objective: The review explores how increasing the ability of organizations to maintain competitive capabilities in an era of continuous change and development in the field of information technology, most organizations focus on adopting new tactics and increasing features to improve organizational performance, improve services provided to customers, simplify administrative and operational processes, improve operational efficiency and make strategic decisions. Method: A research questionnaire was distributed to study the impact and measure the impact of artificial intelligence tools such as artificial intelligence accuracy, learning rate and inference time on increasing big data analysis capabilities and building strategic plans. 163 valid questionnaires were received for analysis and the data were analyzed using the PLSSIM system. Result: Artificial intelligence tools such as artificial intelligence accuracy, learning rates and inference time positively affect increasing big data analysis and building strategic plans. Conclusion: this study allows for a deeper understanding of the impact of artificial intelligence tools and capabilities in influencing big data analysis and building strategic plans.

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:dbk:datame:v:4:y:2025:i::p:637:id:1056294dm2025637

DOI: 10.56294/dm2025637

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