Investigating the Impact of Artificial Intelligence on Application Support and Operations

Ojha, Devi (2024) Investigating the Impact of Artificial Intelligence on Application Support and Operations. Masters thesis, Dublin, National College of Ireland.

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Abstract

This research explores the integration of Artificial Intelligence (AI) in application support and operations, focusing on enhancing observability and issue resolution. Utilizing a mixed-methods approach, the study combines quantitative data from surveys and qualitative insights from focus group discussions. Findings reveal that AI significantly improves operational efficiency by automating routine tasks and enabling predictive maintenance. However, challenges such as the "black box" nature of AI, compatibility issues, and concerns about job displacement present significant barriers to full adoption. The study also highlights the need for comprehensive training and transparent AI systems to build trust among professionals. This balanced approach ensures that the benefits of AI are maximized while mitigating associated risks.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Syed, Muslim Jammel UNSPECIFIED
Uncontrolled Keywords:	Artificial Intelligence; Application Support; Operational Efficiency; Predictive Maintenance; Observability; Issue Resolution; AI Integration; Workforce Dynamics; Training; Transparency; Job Displacement
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence H Social Sciences > Economics > Business
Divisions:	School of Business (- 2025) > Master of Business Administration
Depositing User:	Ciara O'Brien
Date Deposited:	17 Jun 2025 17:45
Last Modified:	17 Jun 2025 17:45
URI:	https://norma.ncirl.ie/id/eprint/7890

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