Volume 1 Number 1 2025
AI-Driven Business Analytics and Organizational Growth: Sectoral Adoption, Governance Challenges, and Strategic Priorities in the U.S.
Niladry Chowdhury1*, Md Sakib Mia1, Md Iqbal Hossain2, Anik Biswas3, Ispita Jahan4
Journal of Ai ML DL 1 (1) 1-8 https://doi.org/10.25163/ai.1110382
Submitted: 20 November 2024 Revised: 07 January 2025 Published: 09 January 2025
Abstract
Background: The IT business analytics field experiences a transformation through the implementation of Artificial Intelligence (AI) and Machine Learning (ML) which enables organizations to discover advanced insights and predict market trends while optimizing their decision- making operations. The United States business environment shows growing interest in artificial intelligence and machine learning because these technologies enable companies to stay ahead in digital market competition.
Methods: The study collected information from 155 business professionals who represent various business sectors across the United States. The research methodology combined survey data analysis with interview responses to create a mixed-methods approach for obtaining quantitative and qualitative information. The study examined organizational usage of AI/ML analytics together with its advantages and operational difficulties and their subsequent effects on organizational performance. Statistical analysis was conducted using frequency distribution and percentage comparisons.
Results: Research findings demonstrate that 72% of organizations achieve better decision-making through AI-based analytics and 65% experience operational efficiency improvements. A substantial number of organizations encounter major obstacles because they lack qualified workers (59%) and must handle expensive implementation expenses (53%). Different sectors display varying adoption rates with IT services reaching 81% adoption and finance following at 68% and manufacturing at 59%. The outcomes show that top strategic priorities include investments in explainable AI together with robust governance frameworks.
Conclusion: The use of AI and ML in IT-driven business analytics leads to positive growth for organizations operating in the USA. Organizations continue to discover the strategic significance of advanced analytics although they face certain obstacles.
Keywords: Artificial Intelligence, Machine Learning, Business Analytics, Decision-Making, Organizational Growth
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