Exploring the role of artificial intelligence in the advancement of e-governance

Authors

  • Intisar Saadoon College of Education, Mustansiriyah University, Baghdad, Iraq
  • Rasha Thamer Shawe College of Education, Mustansiriyah University, Baghdad, Iraq
  • Farah Neamah Abbas College of Education, Mustansiriyah University, Baghdad, Iraq
  • Muntaha shokah College of Basic Education, Mustansiriyah University Baghdad, Iraq

DOI:

https://doi.org/10.31695/IJERAT.2023.9.8.4

Keywords:

Artificial Intelligence, E-Governance, Digital governance, , Deep Learning, NLP, Neural Networks

Abstract

E-governance is one of the applications of information and communication technology. Therefore, it represents the interaction of government, business, electronic employee, and citizen with each other, and these interactions produce homogeneous and heterogeneous databases. Heterogeneous databases are sloppy, unprocessed, and bulky. Dealing with and analyzing these types of data sets takes time, effort, cost, and a clear strategy for data analysis. The aim of this research is to find out the impact of artificial intelligence technology on improving the performance and productivity of organizations by automating processes and its effective role in improving services in e-government. The data entered into smart systems is generally classified into six types: a set of recorded data, a set of text data, images, audio, video clips and other data. This classification shows that each type of data set can be analyzed by appropriate mining techniques such as core data mining, text mining, image, audio and video data mining, etc. which helps identify the needs of citizens and services in the form of multimedia (text, image, audio, video, etc.). In this research, the virtual library was taken as a model for digital governance.

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Published

2023-08-28

Issue

Section

Articles

How to Cite

Exploring the role of artificial intelligence in the advancement of e-governance. (2023). International Journal of Engineering Research and Advanced Technology (ijerat) (E-ISSN 2454-6135) DOI: 10.31695 IJERAT, 9(8), 25-29. https://doi.org/10.31695/IJERAT.2023.9.8.4