Abstract
This work presents the realization of a maintenance device assisted by artificial intelligence. This system makes it possible to improve the supervision of the network, the analysis of technical feedback and their correlation to reduce incident resolution times and better plan or initiate interventions. It is based on the ZABBIX package for monitoring, the Alexa package for conversational agent as well as on some Artificial Intelligence bricks such as AVS, IoT, AWS… It is added to the list of possible solutions and acceleration levers for the growth of operators by reducing the time to detect faults in the network.
Conflict of Interest
The authors declare no conflict of interest.
Ethical Approval
Not applicable
Data Availability
The datasets used in this study are openly available at [repository link] and the source code is available on GitHub at [GitHub link].
Funding
This work did not receive any external funding.
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