The Impact of Big Data-Driven Artificial Intelligence Systems on Public Service Delivery in Cloud-Oriented Government Infrastructures

Abstract

The integration of big data-driven artificial intelligence (AI) systems into public service delivery has revolutionized the operations of governments worldwide, particularly in cloud-oriented infrastructures. This paradigm shift leverages vast volumes of data, AI-driven decision-making capabilities, and cloud computing to create efficient, scalable, and citizen-centric government services. Cloud-oriented government infrastructures provide a centralized, secure, and scalable platform for implementing AI systems that process real-time data to predict trends, automate workflows, and enhance decision-making. This paper explores the multifaceted impact of such systems on public service delivery. It examines how big data analytics combined with AI improves transparency, operational efficiency, and personalization of services while addressing challenges like data security, ethical concerns, and the digital divide. Key applications in public health, smart cities, social welfare, and disaster management are analyzed, highlighting their transformative potential. Furthermore, the research evaluates the role of AI-driven big data systems in promoting citizen engagement, reducing bureaucratic inefficiencies, and fostering innovation within government frameworks. This paper also addresses the challenges governments face in integrating these technologies, including concerns about data governance, cloud infrastructure vulnerabilities, and ethical AI implementation. The conclusion provides recommendations for policymakers and technologists to optimize the use of AI in public service delivery while safeguarding citizen trust and data privacy.