IDEAS home Printed from https://ideas.repec.org/a/ibn/cisjnl/v17y2024i2p1.html
   My bibliography  Save this article

Opportunities for Using Machine Learning and Artificial Intelligence in Business Analytics

Author

Listed:
  • Conrad Onesime Oboulhas Tsahat
  • Ngoulou-A -Ndzeli
  • Charmolavy Goslavy Lionel Nkouka Moukengue

Abstract

In today’s fast-paced business landscape, data is no longer just a byproduct; it’s the driving force behind informed decision-making. With the rise of business analytics, organizations can harness the power of data to gain insights that lead to improved strategies, enhanced operations, and, ultimately, a stronger bottom line. The topic relevance is confirmed by the business need for modern data analysis methods. Technological progress and large data volumes that need processing require the machine learning use which can improve the business processes productivity. Machine learning, a subset of artificial intelligence, has emerged as a powerful tool in the field of business analytics. He involves the use of algorithms that allow computers to learn from and make predictions or decisions based on data. Machine learning and analytics help automate processes, reduce costs and improve the quality of every decision made. The article purpose is to seek to establish opportunities, trends and limitations in the machine learning use and artificial intelligence in business analytics context.

Suggested Citation

  • Conrad Onesime Oboulhas Tsahat & Ngoulou-A -Ndzeli & Charmolavy Goslavy Lionel Nkouka Moukengue, 2024. "Opportunities for Using Machine Learning and Artificial Intelligence in Business Analytics," Computer and Information Science, Canadian Center of Science and Education, vol. 17(2), pages 1-1, November.
  • Handle: RePEc:ibn:cisjnl:v:17:y:2024:i:2:p:1
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/cis/article/download/0/0/50336/54500
    Download Restriction: no

    File URL: https://ccsenet.org/journal/index.php/cis/article/view/0/50336
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dwivedi, Yogesh K. & Hughes, Laurie & Ismagilova, Elvira & Aarts, Gert & Coombs, Crispin & Crick, Tom & Duan, Yanqing & Dwivedi, Rohita & Edwards, John & Eirug, Aled & Galanos, Vassilis & Ilavarasan, , 2021. "Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy," International Journal of Information Management, Elsevier, vol. 57(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Evangelos Katsamakas & Oleg V. Pavlov & Ryan Saklad, 2024. "Artificial intelligence and the transformation of higher education institutions," Papers 2402.08143, arXiv.org.
    2. Vincenzo Varriale & Antonello Cammarano & Francesca Michelino & Mauro Caputo, 2025. "Critical analysis of the impact of artificial intelligence integration with cutting-edge technologies for production systems," Journal of Intelligent Manufacturing, Springer, vol. 36(1), pages 61-93, January.
    3. Yi Sun & Shihui Li & Lingling Yu, 2022. "The dark sides of AI personal assistant: effects of service failure on user continuance intention," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 17-39, March.
    4. Byung-Jik Kim & Julak Lee, 2024. "The mental health implications of artificial intelligence adoption: the crucial role of self-efficacy," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    5. Chen, Xun-Qi & Ma, Chao-Qun & Ren, Yi-Shuai & Lei, Yu-Tian & Huynh, Ngoc Quang Anh & Narayan, Seema, 2023. "Explainable artificial intelligence in finance: A bibliometric review," Finance Research Letters, Elsevier, vol. 56(C).
    6. Kamoonpuri, Sana Zehra & Sengar, Anita, 2023. "Hi, May AI help you? An analysis of the barriers impeding the implementation and use of artificial intelligence-enabled virtual assistants in retail," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    7. D'Al, Francesco & Santarelli, Enrico & Vivarelli, Marco, 2024. "The KSTE+I approach and the advent of AI technologies: evidence from the European regions," GLO Discussion Paper Series 1473, Global Labor Organization (GLO).
    8. Radka Nacheva & Maciej Czaplewski, 2024. "Artificial Intelligence In Helping People With Disabilities: Opportunities And Challenges," HR and Technologies, Creative Space Association, issue 1, pages 102-124.
    9. Fawwaz Tawfiq Awamleh & Ala Nihad Bustami, 2022. "Examine the Mediating Role of the Information Technology Capabilities on the Relationship Between Artificial Intelligence and Competitive Advantage During the COVID-19 Pandemic," SAGE Open, , vol. 12(3), pages 21582440221, August.
    10. Mustak, Mekhail & Salminen, Joni & Mäntymäki, Matti & Rahman, Arafat & Dwivedi, Yogesh K., 2023. "Deepfakes: Deceptions, mitigations, and opportunities," Journal of Business Research, Elsevier, vol. 154(C).
    11. Chenfeng Yan & Quan Chen & Xinyue Zhou & Xin Dai & Zhilin Yang, 2024. "When the Automated fire Backfires: The Adoption of Algorithm-based HR Decision-making Could Induce Consumer’s Unfavorable Ethicality Inferences of the Company," Journal of Business Ethics, Springer, vol. 190(4), pages 841-859, April.
    12. Shore, Adam & Tiwari, Manisha & Tandon, Priyanka & Foropon, Cyril, 2024. "Building entrepreneurial resilience during crisis using generative AI: An empirical study on SMEs," Technovation, Elsevier, vol. 135(C).
    13. Francesco D'Alessandro & Enrico Santarelli & Marco Vivarelli, 2024. "The KSTE+I approach and the AI technologies," DISCE - Quaderni del Dipartimento di Politica Economica dipe0039, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    14. Rahman, Muhammad Sabbir & Bag, Surajit & Hossain, Md Afnan & Abdel Fattah, Fadi Abdel Muniem & Gani, Mohammad Osman & Rana, Nripendra P., 2023. "The new wave of AI-powered luxury brands online shopping experience: The role of digital multisensory cues and customers’ engagement," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    15. Amit Kumar Kushwaha & Ruchika Pharswan & Prashant Kumar & Arpan Kumar Kar, 2023. "How Do Users Feel When They Use Artificial Intelligence for Decision Making? A Framework for Assessing Users’ Perception," Information Systems Frontiers, Springer, vol. 25(3), pages 1241-1260, June.
    16. Hao, Xiaoli & Miao, Erxiang & Sun, Qingyu & Li, Ke & Wen, Shufang & Xue, Yan, 2024. "The impact of digital government on corporate green innovation: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 206(C).
    17. D’Alessandro, Francesco & Santarelli, Enrico & Vivarelli, Marco, 2024. "The Knowledge Spillover Theory of Entrepreneurship and Innovation (KSTE+I) Approach and the Advent of AI Technologies: Evidence from the European Regions," IZA Discussion Papers 17206, Institute of Labor Economics (IZA).
    18. Michael Weber & Martin Engert & Norman Schaffer & Jörg Weking & Helmut Krcmar, 2023. "Organizational Capabilities for AI Implementation—Coping with Inscrutability and Data Dependency in AI," Information Systems Frontiers, Springer, vol. 25(4), pages 1549-1569, August.
    19. Salvatore Monaco & Giovanna Sacchi, 2023. "Travelling the Metaverse: Potential Benefits and Main Challenges for Tourism Sectors and Research Applications," Sustainability, MDPI, vol. 15(4), pages 1-10, February.
    20. Deng, Shichang & Zhang, Jingjing & Lin, Zhengnan & Li, Xiangqian, 2024. "Service staff makes me nervous: Exploring the impact of insecure attachment on AI service preference," Technological Forecasting and Social Change, Elsevier, vol. 198(C).

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:cisjnl:v:17:y:2024:i:2:p:1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.