Conversational AI and its Applications in Production

Bolnedi, Mallikharjunarao (2023) Conversational AI and its Applications in Production. Masters thesis, Dublin, National College of Ireland.

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Abstract

At the vanguard of technological innovation, conversational AI in production is revolutionising how people interact with technology. This report summarises an extensive survey that looked into the use of conversational AI in a variety of professional contexts. This study explores the complex world of conversational AI in production settings, driven by the need to close the knowledge gap regarding its impact, challenges, and practical application. In this study our survey sought to ascertain among 55 diverse participants their familiarity, usage levels, effectiveness, challenges, and impact on customer satisfaction. Using SPSS for analysis, the survey produced insightful results about conversational AI integration. The results showed that respondents' familiarity levels ranged from moderate to nascent, with an average usage score of 2.69 and a moderate familiarity level of 3.16. Conversational AI scored 3.15 on average when it came to effectiveness, which indicates that it has a moderate impact on product offerings. Consistent satisfaction levels were also assessed, with an average score of 3.11. Participants who encountered implementation difficulties reported an average score of 2.91, indicating a landscape that is moderately challenging. Notably, with an average score of 3.05., conversational AI demonstrated a moderately positive impact on customer satisfaction. In terms of demographics, a gender distribution that is balanced and a range of usage levels highlighted different but consistent opinions about the usefulness, difficulties, and influence of conversational AI in professional fields.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Del Rosal, Victor UNSPECIFIED
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 > HD Industries. Land use. Labor > Business Logistics
Divisions:	School of Computing > Master of Science in Artificial Intelligence for Business
Depositing User:	Tamara Malone
Date Deposited:	07 Apr 2025 11:31
Last Modified:	07 Apr 2025 11:31
URI:	https://norma.ncirl.ie/id/eprint/7380

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