MACHINE LEARNING DRIVEN AI INSIGHTS: TRANSFORMING STRATEGIC DECISION MAKING FOR US BUSINESSES
DOI:
https://doi.org/10.48047/s3wy1048Keywords:
Artificial Intelligence, LDA topic Modeling, NPL analysis, Sentiment Polarity, ML-impacted Business Decision making.Abstract
The boom of artificial intelligence (AI) coupled with machine-learning meta-analyses, including Latent Dirichlet Allocation (LDA) topic modeling, keyword co-occurrence, TF-IDF clustering, sentiment polarity, and tool-similarity indices do change decision making in enterprises in the United States. The current paper investigates the implementation of an artificial intelligence into the work of American companies, applying machine-learning methods to explain thematic patterns (e.g., 28.34% prevalence of AI-decision-business intelligence), conceptual connections to one another (e.g., there are strong relationships between the data, strategy, and ethics), the classification of possible content into four categories, a moderate number of positive, negative, and neutral sentences (25 positive, 6 negative, 108 neutral paragraphs), and similar functional features of tools like ClickUp AI, Bricabrac Such machine-learned findings support the idea of AI in efficiency, accuracy, innovation, and ethical governance, therefore, providing competitive benefits and reducing threat impacts, including bias and privacy issues in the context of the United States.
Downloads
References
Y. Arafat, D. K. Akula, Y. S. Mohammed, G. M. M. Haque, M. B. Rahman, and A. Syed, "Big Data Analytics in Information Systems Research: Current Landscape and Future Prospects Focus: Data science, cloud platforms, real-time analytics in IS," Emerging Frontiers Library for The American Journal of Engineering and Technology, vol. 7, no. 8, pp. 177-201, 2025.
M. T. Islam, A. S. M. Shaker, H. Barua, A. Sayeema, M. Ahmed, and J. Maua, "FinGraphRisk: A Graph Neural Network-Based Framework for Sentiment-Driven Financial Risk Assessment," in 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), 2025: IEEE, pp. 1-6.
M. N. Hasan, S. Islam, A. H. Hussain, M. Islam, and M. Hassan, "Personalized Health Monitoring of Autistic Children Through AI and IoT Integration," J Int Crisis Risk Commun Res, pp. 358-365, 2024.
H. R. Rabby, I. Jahan, M. M. Hasan, M. R. Siddiky, and R. Jahan, "Comparative Analysis of Machine Learning Algorithms for Breast Cancer Prediction Using Fine Needle Aspirate Image Features," in 2025 International Conference on Emerging Trends in Industry 4.0 Technologies (ICETI4T), 2025: IEEE, pp. 1-7.
M. N. Hasan, S. Islam, A. H. Hussain, M. Maruful, and M. M. H. Islam, "Personalized Health Monitoring Of Autistic Children Through AI And Iot Integration."
A. Alzlfawi et al., "Prediction and parametric modeling of compressive strength of waste marble dust concrete through machine learning and experimental analysis," Scientific Reports, vol. 15, no. 1, p. 42982, 2025.
I. Islam, S. A. Chowdhury, A. Hoque, and M. M. Hasan, "The Future of Banking Fraud Detection: Emerging AI Technologies and Trends," Well Testing Journal, vol. 34, no. S3, pp. 102-120, 2025.
A. Hoque, S. A. Chowdhury, H. M. Sozib, I. Mahmud, and N. Suraiah, "Cloud Computing in Banking Flexibility and Scalability for Financial Institute," Well Testing Journal, vol. 34, no. S2, pp. 165-184, 2025.
S. Lebovitz, N. Levina, and H. Lifshitz-Assaf, "IS AI GROUND TRUTH REALLY TRUE? THE DANGERS OF TRAINING AND EVALUATING AI TOOLS BASED ON EXPERTS'KNOW-WHAT," MIS quarterly, vol. 45, no. 3, 2021.
X. Du‐Harpur, F. Watt, N. Luscombe, and M. Lynch, "What is AI? Applications of artificial intelligence to dermatology," British Journal of Dermatology, vol. 183, no. 3, pp. 423-430, 2020.
M. Khatun and M. S. Oyshi, "Advanced Machine Learning Techniques for Cybersecurity: Enhancing Threat Detection in US Firms," Journal of Computer Science and Technology Studies, vol. 7, no. 2, pp. 305-315, 2025.
M. I. Hossain, T. Akter, M. Yasin, and M. B. Rahman, "Zero‑ETL Analytics: Transforming operational data into actionable insights," 2025.
M. F. Hossain and M. M. Uddin, "AI in Precision Oncology: Revolutionizing Cancer Treatment Through Personalized Drug Discovery," Journal of Computer Science and Technology Studies, vol. 7, no. 2, pp. 276-283, 2025.
M. K. I. Kabbo et al., "Analyzing the influence of chemical components of incinerated bottom ash on compressive strength of magnesium phosphate cement using machine learning analysis," Geoenvironmental Disasters, vol. 12, no. 1, p. 35, 2025.
K. Hussain, "Artificial Intelligence and its Applications goal," Artificial Intelligence, vol. 5, no. 01, pp. 838-841, 2018.
S. Basak, M. D. H. Gazi, and S. Mazharul Hoque Chowdhury, "A Review Paper on Comparison of different algorithm used in Text Summarization," in International Conference on Intelligent Data Communication Technologies and Internet of Things, 2019: Springer, pp. 114-119.
N. Mandaloju, N. Srinivas, and S. V. Nadimpalli, "Enhancing Salesforce with Machine Learning: Predictive Analytics for Optimized Workflow Automation," Journal of Advanced Computing Systems, vol. 2, no. 7, pp. 1-14, 2022.
R. Islam, M. Uddin, O. Farouk, S. R. Dhar, and N. Vanu, "Integrating Blockchain Innovation: A Sustainable Adoption Model for Business," Journal of Computer and Communications, vol. 12, no. 11, pp. 141-161, 2024.
A. Hoque, M. S. K. Chy, S. A. Chowdhury, and A. J. Hossain, "Reshaping Fintech: Unveiling Recent Developments on Fintech Integration," Well Testing Journal, vol. 34, no. S3, pp. 121-148, 2025.
M. M. Uddin, "Digital Transformation in Leadership Management: Opportunities and Challenges in the COVID-19 Scenario," Transactions on Banking, Finance, and Leadership Informatics, vol. 1, no. 1, p. 16, 2024.
R. Khan, M. F. Hossain, M. M. Uddin, and T. J. Joti, "Technology-Assisted Parent Training Programs for Autism Management," Technology, vol. 1, no. 1, 2024.
F. Lieder, P.-Z. Chen, J. Stojcheski, S. Consul, and V. Pammer-Schindler, "A cautionary tale about AI-generated goal suggestions," in Proceedings of Mensch und Computer 2022, 2022, pp. 354-359.
M. N. H. Mir, A. K. Biswas, M. S. A. Bhuiyan, M. G. R. Abir, M. Mridha, and M. J. Hossen, "ABMF-Net: An Attentive Bayesian Multi-Stage Deep Learning Model for Robust Forecasting of Electricity Price and Demand," IEEE Open Journal of the Computer Society, 2025.
M. M. Hassan, M. N. Hasan, S. Islam, A. Hussain, and M. Islam, "AI-Augmented Clinical Decision Support for Behavioral Escalation Management in Autism Spectrum Disorder," J Int Crisis Risk Commun Res, pp. 201-208, 2023.
M. A. Alim, M. R. Rahman, M. H. Arif, and M. S. Hossen, "Enhancing fraud detection and security in banking and E-Commerce with AI-powered identity verification systems," 2020.
G. T. Alam, M. M. Bakhsh, N. Y. Nadia, and S. M. Islam, "Predictive Analytics in QA Automation:: Redefining Defect Prevention for US Enterprises," Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online), vol. 4, no. 2, pp. 55-66, 2025.
H. R. Rabby, M. Hasan, I. Jahan, R. Jahan, and R. Siddiky, "Coronavirus Disease Outbreak Prediction and Analysis Using Machine Learning and Classical Time Series Forecasting Models," in 2024 International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Application (ICAIQSA), 2024: IEEE, pp. 1-7.
H. M. Sozib et al., "Fraud Transaction Detection Using Machine Learning on Financial Database," in 2024 International Conference on Progressive Innovations in Intelligent Systems and Data Science (ICPIDS), 2024: IEEE, pp. 235-242.
N. C. Mandal et al., "A Case Report of Middle Aortic Syndrome: A Rare Vascular Disorder," Cardiovascular Journal, vol. 6, no. 1, pp. 60-62, 2013.
Y. Duan, J. S. Edwards, and Y. K. Dwivedi, "Artificial intelligence for decision making in the era of Big Data–evolution, challenges and research agenda," International journal of information management, vol. 48, pp. 63-71, 2019.
S. C. S. Pankaj Kumar Sarker, Santanu Palit, Abdullah Al Naseeh Chowdhury, Mst Sanjida Alam, Mohammad Delowar Hossain Gazi, Mahabubur Rahman, "Machine learning applications in predicting structural failures and earthquake damage."
M. R. R. Md Abdul Alim, Md Shakhawat Hossen, Mamunur Rahman, Md Habibul Arif, Iftekhar Rasul, "Zero-Trust Security Models in Multi-Cloud Environments: Scalability, Challenges, and Implementation Strategies," Journal of Advanced Research in Applied Sciences and Engineering Technology,, vol. 56, no. 282–29, 2025.
M. B. Rahman et al., "Appraising the historical and projected spatiotemporal changes in the heat index in Bangladesh," Theoretical and Applied climatology, vol. 146, no. 1-2, p. 125, 2021.
S. S. Md Mesbah Uddin Sheikh Ummey Salma Tonu 1 , Fatima tuz zahura, Dipta Sharma, Kishor Chandra das, Dr. Rajib Saha, Md. Imran Ali, "PERIOPERATIVE MEDICINE: INVESTIGATING PREOPERATIVE AND POSTOPERATIVE MANAGEMENT, INCLUDING REDUCING COMPLICATIONS IN DIABETIC AND OBESE PATIENTS," Periodic Reviews on Artificial Intelligence in Health Informatics, vol. 1, no. 1, pp. 20-27, 2024/8/19.
A. Hoque, I. Islam, S. A. Chowdhury, I. Mahmud, and A. J. Hossain, "AI and Machine learning in Banking: Driving Efficiency and Innovation," Well Testing Journal, vol. 34, no. S3, pp. 80-101, 2025.
S. Begum, "Artificial Intelligence and Economic Resilience: A Review of Predictive Financial Modelling for Post-Pandemic Recovery in the United States SME Sector," International Journal of Innovative Science and Research Technology, vol. 10, no. 7, pp. 3620-3627, 2025.
M. Stone et al., "Artificial intelligence (AI) in strategic marketing decision-making: a research agenda," The Bottom Line, vol. 33, no. 2, pp. 183-200, 2020.
K. K. Roy, M. Saeed, M. B. Rahman, K. Y. Lama, and M. A. Azzawi, "Leveraging artificial intelligence for strategic decision-making in healthcare organizations: a business it perspective," The American Journal of Applied Sciences, vol. 7, no. 8, pp. 74-93, 2025.
A. Hussain, M. Islam, M. Hassan, M. Hasan, and S. Islam, "Operationalizing the NIST AI RMF for SMEs—Top National Priority (AI Safety)," J Int Crisis Risk Commun Res, pp. 2555-2564, 2024.
A. H. Samia Ara Chowdhury, Md Sajedul Karim Chy, Mohammad Delowar Hossain Gazi, "Next Generation Financial Security: Leveraging AI for Fraud Detection, Compliance and Adaptive Risk Management," Well Testing Journal, vol. 34, no. S3, pp. 61-79, 2025/7/25.
I. R. Md Habibul Arif, Md Abdul Alim, Md Reduanur Rahman, Md Shakhawat Hossen, Mamunur Rahman, "AI-Powered DDoS Detection and Mitigation: Developing Adaptive Machine Learning Frameworks to Predict and Block Next-Generation Attacks," Journal of Advanced Research in Applied Sciences and Engineering Technology, vol. 56, no. 231–243, 2025.
M. H. Arif, H. R. Rabby, N. Y. Nadia, M. I. M. Tanvir, and A. Al Masum, "AI-Driven Risk Assessment in National Security Projects: Investigating machine learning models to predict and mitigate risks in defense and critical infrastructure projects," Journal of Computer Science and Technology Studies, vol. 7, no. 2, pp. 71-85, 2025.
Z. Akbar, A. Hassaan, M. M. Jamshaid, M. N. Siddique, and S. Niaz, "Leveraging Data and Artificial Intelligence for Sustained Competitive Advantage in Firms and Organizations," Journal of Innovative Computing and Emerging Technologies, vol. 3, no. 1, 2023.
I. Sazzadul, J. M. Ismail, B. Sakera, and S. A. S. Muhammad, "Designing a Real-Time Human-AI Decision Support Framework for US Healthcare Providers Using Big Data Analytics," Journal of Computer Science and Technology Studies, vol. 7, no. 8, pp. 716-723, 2025.
T. Capel and M. Brereton, "What is human-centered about human-centered AI? A map of the research landscape," in Proceedings of the 2023 CHI conference on human factors in computing systems, 2023, pp. 1-23.
M. M. Billah, A. D. Nath, D. Das, T. Mahmud, and R. Rahman, "Skin Cancer Classification using NasNet," 2023.
M. M. Hassan, M. N. Hasan, S. Islam, A. Hill, and M. M. I. Hussain, "AI-Augmented Clinical Decision Support For Behavioral Escalation Management In Autism Spectrum Disorder."
K. Kovler and N. Roussel, "Properties of fresh and hardened concrete," Cement and Concrete Research, vol. 41, no. 7, pp. 775-792, 2011.
A. Hassaan, M. M. Jamshaid, M. N. Siddique, Z. Akbar, and S. Niaz, "ETHICAL ANALYTICS & DIGITAL TRANSFORMATION IN THE AGE OF AI: EMBEDDING PRIVACY, FAIRNESS, AND TRANSPARENCY TO DRIVE INNOVATION AND STAKEHOLDER TRUST," Contemporary Journal of Social Science Review, vol. 1, no. 04, pp. 1-18, 2023.
J. S. Black and P. van Esch, "AI-enabled recruiting: What is it and how should a manager use it?," Business Horizons, vol. 63, no. 2, pp. 215-226, 2020.
T. Mahmud, "ML-driven resource management in cloud computing," World Journal of Advanced Research and Reviews, vol. 16, no. 03, pp. 1230-1238, 2022.
M. H. R. Sobuz, M. K. I. Kabbo, M. Khatun, T. S. Alahmari, M. Jameel, and M. M. H. Khan, "Microstructural assessment and supervised machine learning-aided modeling to explore the potential of quartz powder as an alternate binding material in concrete," Case Studies in Construction Materials, vol. 22, p. e04568, 2025.
M. M. Islam, M. M. Hassan, M. N. Hasan, S. Islam, and A. H. Hussain, "Reinforcement Learning Models for Anticipating Escalating Behaviors in Children with Autism," J Int Crisis Risk Commun Res, pp. 3225-3236, 2024.
M. M. H. Sizan, "Machine Learning-Based Unsupervised Ensemble Approach for Detecting New Money Laundering Typologies in Transaction Graphs," International Journal of Applied Mathematics, vol. 38, no. 2s, pp. 351-374, 2025.
M. M. Jamshaid, A. Hassaan, Z. Akbar, M. N. Siddique, and S. Niaz, "IMPACT OF ARTIFICIAL INTELLIGENCE ON WORKFORCE DEVELOPMENT: ADAPTING SKILLS, TRAINING MODELS, AND EMPLOYEE WELL-BEING FOR THE FUTURE OF WORK," Spectrum of Engineering Sciences, 2024.
M. M. Bakhsh, G. T. Alam, and N. Y. Nadia, "Adapting Agile Methodologies to Incorporate Digital Twins in Sprint Planning, Backlog Refinement, and QA Validation," Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online), vol. 4, no. 2, pp. 67-79, 2025.
I. Kulkov, "The role of artificial intelligence in business transformation: A case of pharmaceutical companies," Technology in Society, vol. 66, p. 101629, 2021.
T. Mahmud, "AUTONOMOUS BOUNDARY ALERT SYSTEM FOR CHILD/CRIMINAL MONITORING. 2020," DAFFODIL INTERNATIONAL UNIVERSITY.
M. Saeed, "Data-Driven Healthcare: The Role of Business Intelligence Tools in Optimizing Clinical and Operational Performance," The American Journal of Applied Sciences, vol. 7, no. 8, pp. 50-73, 2025.
S. B. Masud et al., "The Revolution of AI in Enhancing Infrastructure and Facilities Management," Cuestiones de Fisioterapia, vol. 54, no. 4, pp. 5605-5624, 2025.
S. Niaz, Z. Akbar, M. N. Siddique, M. M. Jamshaid, and A. Hassaan, "AI for Inclusive Educational Governance and Digital Equity Examining the Impact of AI Adoption and Open Data on Community Trust and Policy Effectiveness," Contemporary Journal of Social Science Review, vol. 2, no. 04, pp. 2557-2567, 2024.
M. M. Islam, M. M. Hassan, M. N. Hasan, S. Islam, and A. H. Hussain, "Reinforcement Learning Models For Anticipating Escalating Behaviors In Children With Autism."
A. Di Vaio, R. Palladino, R. Hassan, and O. Escobar, "Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review," Journal of Business Research, vol. 121, pp. 283-314, 2020.
J. I. MAHABUB SHOHONI, RUSSEL HOSSAIN MD, "TRANSFORMING BUSINESS TECHNOLOGY LANDSCAPE: LEVERAGING AI IN BUSINESS DATA ANALYTICS FOR COMPETITIVE ADVANTAGE IN US SUSTAINABLE GROWTH," NANOTECHNOLOGY, pp. 4031-4042, 2024.
M. H. R. Sobuz, M. Khatun, M. K. I. Kabbo, and N. M. Sutan, "An explainable machine learning model for encompassing the mechanical strength of polymer-modified concrete," Asian Journal of Civil Engineering, vol. 26, no. 2, pp. 931-954, 2025.
M. S. JAHAN ISRAT, RUSSEL HOSSAIN MD, "OPTIMIZING DATA ANALYSIS AND SECURITY OF ELECTRONIC HEALTH RECORDS (EHR): ROLE IN REVOLUTIONIZATION OF MACHINE LEARNING FOR USABILITY INTERFACE," NANOTECHNOLOGY, pp. 4010-4022, 2024.
S. Islam, A. H. Hussain, M. M. Islam, M. Hassan, and M. Hasan, "Cloud IoT Framework for Continuous Behavioral Tracking in Children with Autism," J Int Crisis Risk Commun Res, pp. 3517-3523, 2024.
M. Bari et al., "Toward an Adaptive AI/ML-Based QA Framework with HRM Integration for Inclusive and Secure Healthcare Solutions in Edge Environments," Journal of Neonatal Surgery, vol. 14, no. 32S, pp. 7612-7620, 2025.
S. Islam, A. H. Hussain, M. M. Islam, M. Mehedi, and M. N. H. Hassan, "Cloud Iot Framework For Continuous Behavioral Tracking In Children With Autism."
S. Kaggwa, T. F. Eleogu, F. Okonkwo, O. A. Farayola, P. U. Uwaoma, and A. Akinoso, "AI in decision making: transforming business strategies," International Journal of Research and Scientific Innovation, vol. 10, no. 12, pp. 423-444, 2024.
M. S. A. J. Mohammed Majid Bakhsh, Sazzadul Islam, Nusrat Yeasmin Nadia, Ankur Sarkar, Md Shadikul Bari, SA Islam, "From Compliance to Code: An NLP-Based QA Automation Framework For HRM Software in the US Healthcare Sector," Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology, ISSN (Online), pp. 0493-2137, 2024/3/11.
L. Iaia, C. Nespoli, F. Vicentini, M. Pironti, and C. Genovino, "Supporting the implementation of AI in business communication: the role of knowledge management," Journal of Knowledge Management, vol. 28, no. 1, pp. 85-95, 2024.
H. M. Sozib et al., "Cloud Computing in Business: Leveraging SaaS, IaaS, and PaaS for Growth," Journal of Applied Research, p. 38.
P. Buxmann, T. Hess, and J. B. Thatcher, "AI-based information systems," vol. 63, ed: Springer, 2021, pp. 1-4.
J. Bughin, E. Hazan, P. Sree Ramaswamy, W. DC, and M. Chu, "Artificial intelligence the next digital frontier," 2017.
A. Jaiswal, C. J. Arun, and A. Varma, "Rebooting employees: Upskilling for artificial intelligence in multinational corporations," in Artificial Intelligence and International HRM: Routledge, 2023, pp. 114-143.
S. Bhatnagar and R. Mahant, "Unleashing the Power of AI in Financial Services: Opportunities, Challenges, and Implications," Artificial Intelligence (AI), vol. 4, no. 1, 2024.
S. Mishra and A. R. Tripathi, "AI business model: an integrative business approach," Journal of Innovation and Entrepreneurship, vol. 10, no. 1, p. 18, 2021.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
