Chatbot Based on Conversational Artificial Intelligence for the Attention of an IT Service Desk in Florida

Juan O. Torres, Valeria X. Barraza, Pedro S. Castaneda

Producción científica: Libro o Capítulo del libro Contribución a la conferenciarevisión exhaustiva

Resumen

The rapid digitalization of businesses, driven by the pandemic, has transformed the way IT services are managed. Due to the significant increase in demand for IT support, especially in the field of Service Desk, efficient solutions are required to maintain service quality without incurring excessive costs. In this context, this work proposes a solution based on artificial intelligence (AI): the implementation of a chatbot using Dialogflow. Experiments were conducted to evaluate its performance, including user surveys and data analysis. The results revealed that, on average, users experienced a 20% increase in satisfaction when using a chatbot to solve problems. For expert users, the increase in satisfaction was 12% in terms of efficiency. Additionally, a cost savings of 42.26% is projected, compared to hiring additional personnel. These findings highlight the importance of AI-based solutions in improving IT services. This, in turn, offers the opportunity to expand customer service availability, automate repetitive tasks, and lighten the IT support workload, resulting in more efficient and cost-effective resource management.

Idioma originalInglés estadounidense
Título de la publicación alojada2024 6th International Conference on Natural Language Processing, ICNLP 2024
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas775-782
-8
ISBN (versión digital)9798350349115
DOI
EstadoIndizado - 2024
Publicado de forma externa
Evento6th International Conference on Natural Language Processing, ICNLP 2024 - Hybrid, Xi'an, China
Duración: 22 mar. 202424 mar. 2024

Serie de la publicación

Nombre2024 6th International Conference on Natural Language Processing, ICNLP 2024

Conferencia

Conferencia6th International Conference on Natural Language Processing, ICNLP 2024
País/TerritorioChina
CiudadHybrid, Xi'an
Período22/03/2424/03/24

Nota bibliográfica

Publisher Copyright:
© 2024 IEEE.

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