TY - GEN
T1 - AI for Information Tecchnology Operation (AIOps)
T2 - 9th International Conference on Soft Computing and Machine Intelligence, ISCMI 2022
AU - Ahmed, Salman
AU - Singh, Muskaan
AU - Doherty, Brendan
AU - Ramlan, Effirul
AU - Harkin, Kathryn
AU - Coyle, Damien
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The advancement of Artificial Intelligence has led to a surge in its application in Information Technology (IT) Operations, often termed Artificial Intelligence for IT Operations (AIOPS). One of the most challenging problems in AIOPS is IT Service Management (ITSM), which deals with incidents and anomalies of users, often referred to as tickets. These tickets are resolved by the IT firm support system, which plays a significant role in the company's user experiences, productivity, and profit. Recent advances have been made to automate the prediction of IT incidents and resolve them in a minimal time, utilizing AI models. In this paper, we take stock of the work in this domain and review the challenges. We also highlight the open topics that require further investigation for the advancement of the field.
AB - The advancement of Artificial Intelligence has led to a surge in its application in Information Technology (IT) Operations, often termed Artificial Intelligence for IT Operations (AIOPS). One of the most challenging problems in AIOPS is IT Service Management (ITSM), which deals with incidents and anomalies of users, often referred to as tickets. These tickets are resolved by the IT firm support system, which plays a significant role in the company's user experiences, productivity, and profit. Recent advances have been made to automate the prediction of IT incidents and resolve them in a minimal time, utilizing AI models. In this paper, we take stock of the work in this domain and review the challenges. We also highlight the open topics that require further investigation for the advancement of the field.
KW - Artificial Intelligence for IT Operations (AIOPS)
KW - Dataset Imbalance
KW - Information Technology Infrastructure Library (ITIL)
KW - IT Incidents
KW - IT Service Management (ITSM)
KW - Risk prediction
UR - https://www.scopus.com/pages/publications/85151665714
U2 - 10.1109/ISCMI56532.2022.10068482
DO - 10.1109/ISCMI56532.2022.10068482
M3 - Conference Publication
AN - SCOPUS:85151665714
T3 - 2022 9th International Conference on Soft Computing and Machine Intelligence, ISCMI 2022
SP - 253
EP - 257
BT - 2022 9th International Conference on Soft Computing and Machine Intelligence, ISCMI 2022
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 26 November 2022 through 27 November 2022
ER -