| Issue |
E3S Web Conf.
Volume 491, 2024
International Conference on Environmental Development Using Computer Science (ICECS’24)
|
|
|---|---|---|
| Article Number | 04021 | |
| Number of page(s) | 11 | |
| Section | Engineering for Environment Development Applications | |
| DOI | https://doi.org/10.1051/e3sconf/202449104021 | |
| Published online | 21 February 2024 | |
Accelerate IT and IoT with AIOps and observability
1 Vice President, Standard Chartered Global Business Services Sdn Bhd., Kuala Lumpur, Malaysia, latha.nv@gmail.com.
2 Associate Professor, PG and Research Department of Computer Science, Sri Meenakshi Government Arts College for Women, Madurai, Tamil Nadu, India, sujamurugan@gmail.com
3 Student – M..Sc. Cyber Security, School of Computer Science, University of Birmingham, Birmingham, United Kingdom, mukulmech99@gmail.com.
4 Student – M.S Data Science, School of Engineering and Applied Sciences, University at Buffalo, The state University of New York, United States of America, vslokesh10@gmail.com
The most current of all disruptive technologies is artificial intelligence (AI), which has tremendous potential to transform marketing. AI is also the latest of all disruptive technologies. Professionals are scrambling to decide which artificial intelligence solutions will be the most advantageous for the specific projects they are working on. On the other hand, an exhaustive review of the relevant literature might highlight the significance of AI and serve as a roadmap for future study. This study on artificial intelligence (AI) aims to comprehensively analyze AI by doing a bibliometric, conceptual, and intellectual network analysis of the academic literature on the topic. Following a rigorous analysis of the publications, the most influential authors in the scientific community as well as the most trustworthy resources, were uncovered. The co-citation and co-occurrence analyses, respectively, helped along the building of the theoretical and philosophical network. Data clustering was beneficial in identifying study subthemes and future research subjects, which was done in order to improve the usage of artificial intelligence.
Key words: Information Technology / Internet of Things / Big Data / AIOps / Observability
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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