Accelerate IT and IoT with AIOps and observability
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 f...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2024-01-01
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| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/21/e3sconf_icecs2024_04021.pdf |
| _version_ | 1827344662358130688 |
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| author | Valli Latha Narayanan Sujatha N. Mech Mukul Lokesh V.S. |
| author_facet | Valli Latha Narayanan Sujatha N. Mech Mukul Lokesh V.S. |
| author_sort | Valli Latha Narayanan |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-07T22:50:57Z |
| format | Article |
| id | doaj.art-ea81a9a11ada4d8eaf7b9ff54a8d2795 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-07T22:50:57Z |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-ea81a9a11ada4d8eaf7b9ff54a8d27952024-02-23T10:21:00ZengEDP SciencesE3S Web of Conferences2267-12422024-01-014910402110.1051/e3sconf/202449104021e3sconf_icecs2024_04021Accelerate IT and IoT with AIOps and observabilityValli Latha Narayanan0Sujatha N.1Mech Mukul2Lokesh V.S.3Vice President, Standard Chartered Global Business Services Sdn BhdAssociate Professor, PG and Research Department of Computer Science, Sri Meenakshi Government Arts College for WomenStudent – M..Sc. Cyber Security, School of Computer ScienceStudent – M.S Data Science, School of Engineering and Applied Sciences, University at BuffaloThe 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/21/e3sconf_icecs2024_04021.pdfinformation technologyinternet of thingsbig dataaiopsobservability |
| spellingShingle | Valli Latha Narayanan Sujatha N. Mech Mukul Lokesh V.S. Accelerate IT and IoT with AIOps and observability E3S Web of Conferences information technology internet of things big data aiops observability |
| title | Accelerate IT and IoT with AIOps and observability |
| title_full | Accelerate IT and IoT with AIOps and observability |
| title_fullStr | Accelerate IT and IoT with AIOps and observability |
| title_full_unstemmed | Accelerate IT and IoT with AIOps and observability |
| title_short | Accelerate IT and IoT with AIOps and observability |
| title_sort | accelerate it and iot with aiops and observability |
| topic | information technology internet of things big data aiops observability |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/21/e3sconf_icecs2024_04021.pdf |
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