User Expectation and Benefits of Implementing Artificial Intelligence in the UAE Energy Sector

Autor: Hassan Ali Hassan Altaffaq Almarashda, Ishak Bin Baba, Azizul Azhar Ramli, Aftab Hameed Memon
Rok vydání: 2022
Předmět:
Zdroj: Journal of Applied Engineering Sciences. 12:1-10
ISSN: 2284-7197
DOI: 10.2478/jaes-2022-0001
Popis: Energy is one of the most fundamental elements to drive economic development. Therefore, it is a significant element of the economic development of UAE. United Arab Emirates (UAE) is keen to exploit the benefits of AI to deliver clean, secure, affordable energy. Thus this paper studied the benefits and user expectations if AI is adopted in the energy sector. This was achieved through a questionnaire amongst the personnel working in the energy sector. From the analysis of 350 completed questionnaire form, this was found that “AI able to increase employees’ job performance”; “AI able to improve the customer retention” and “AI bring positive impact to the organization” are three significant benefits of AI implementation in energy sector. Similarly, “Using AI Technology fits well with the way I work”, “Interacting with AI Technology is often frustrating” and “Assistance is available if facing difficulty using AI Technology” are three major expectations of the users. Further, the difference of the opinions amongst the respondent groups with different level of working experience and working positions was presented based on comparing means. The findings of this study will encourage the practitioners to implement AI in energy sector. This will also enhance the performance of the energy sector.
Databáze: OpenAIRE