Mehta, Ashish (2025) Revolutionizing public governance: Strategic Integration of AI, IoT, and Big Data for Enhanced Service Delivery and Operational Excellence. World Journal of Advanced Engineering Technology and Sciences, 15 (3). pp. 2070-2079. ISSN 2582-8266
![WJAETS-2025-1068.pdf [thumbnail of WJAETS-2025-1068.pdf]](https://eprint.scholarsrepository.com/style/images/fileicons/text.png)
WJAETS-2025-1068.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial Share Alike.
Abstract
This comprehensive article explores the strategic integration of Artificial Intelligence, Internet of Things, and Big Data technologies as a framework for public sector transformation. It examines how these convergent technologies create opportunities for governments to shift from reactive to proactive service models while enhancing operational efficiency. The analysis investigates implementation pathways across multiple domains including predictive service delivery, infrastructure maintenance, and emergency response systems. It addresses critical governance challenges related to data privacy, cybersecurity vulnerabilities, and organizational adaptation requirements. The article presents a forward-looking perspective on the evolution of technology-enabled public administration, emphasizing the potential for more responsive, transparent and citizen-centric governance models that leverage data-driven insights to improve decision-making and resource allocation across all levels of government.
Item Type: | Article |
---|---|
Official URL: | https://doi.org/10.30574/wjaets.2025.15.3.1068 |
Uncontrolled Keywords: | Digital Governance Transformation; Predictive Public Services; Data-Driven Policymaking; Smart Infrastructure Management; Technological Public Sector Modernization |
Depositing User: | Editor Engineering Section |
Date Deposited: | 22 Aug 2025 07:09 |
Related URLs: | |
URI: | https://eprint.scholarsrepository.com/id/eprint/4889 |