AI and Automated Systems for Information Technology Operations

Authors

  • Latha Narayanan Valli, N. Sujatha, K. Chelladurai

Keywords:

Automated Systems, Artificial intelligence, Systematic literature review, Machine learning.

Abstract

Over the last several years, the research community devoted to information technology (IT) has paid more attention to artificial intelligence. However, there is a growing fear that AI research would not experience the same kind of cumulative buildup of knowledge as IT research has in the past. This study addresses this topic, which conducts a thorough literature analysis of artificial intelligence research in IT between the years 2008 and 2022. As a result of this, the study makes a number of significant contributions, including (i) a tabulation of the benefits of AI to IT enterprises, (ii) consequences for future study and actual use of AI, and (iii) potential avenues for further study in the field of artificial intelligence.

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References

Benbya, H., Pachadi, S. and Jarvenpaa, S., 2021. Special issue editorial: Artificial intelligence in organisations: Implications for information systems research. Journal of the Association for Information Systems, 22(2), p.10.

Jakšič, M. and Marinč, M. (2019). Relationship banking and information technology: The role of artificial intelligence and FinTech. Risk Management, 21, pp.1-18.

Mohammad, S.M. (2020). Artificial intelligence in information technology. Available at SSRN 3625444.

Mohammad, S.M. and Surya, L. (2018). Security automation in Information technology. INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS (IJCRT)–Volume, 6.

Nirmala, P., Ramesh, S., Tamilselvi, M., Ramkumar, G. and Anitha, G. (2022). An Artificial Intelligence enabled Smart Industrial Automation System based on Internet of Things Assistance. In 2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACAI) (pp. 1-6). IEEE.

Surya, L. (2017). AI in information technology and its future in the United States. International Journal of Creative Research Thoughts (IJCRT), ISSN, pp.2320-2882.

Tyagi, A.K., Fernandez, T.F., Mishra, S. and Kumari, S. (2021). Intelligent automation systems at the core of industry 4.0. In Intelligent Systems Design and Applications: 20th International Conference on Intelligent Systems Design and Applications (ISDA 2020) held December 12-15, 2020 (pp. 1-18). Cham: Springer International Publishing.

Valli, N.S.L.N. (2022). Deep Learning Algorithms – A Case Study. Journal of emerging technologies and innovative research (JETIR).

Valli, N.S.L.N. (2023). Research and Innovations in Artificial Intelligence for Information Technology Operations.

Valli, N.S.L.N. (2023). The Cutting-Edge Technology Behind A Digital Transformation – DARQ. International Journal of All Research Education and Scientific Methods (IJARESM).

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Published

09.07.2024

How to Cite

Latha Narayanan Valli. (2024). AI and Automated Systems for Information Technology Operations. International Journal of Intelligent Systems and Applications in Engineering, 12(22s), 1349 –. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/6599

Issue

Section

Research Article