Artificial Intelligence and Big Data Technologies to Optimize Government Decision-Making Processes in Cloud-Based Environments

Abstract

The integration of Artificial Intelligence (AI) and Big Data technologies into government decision-making processes has become increasingly critical in the era of digital transformation. With the rapid growth of data generation and the complexity of governance challenges, these advanced technologies offer unprecedented opportunities to optimize decision-making processes. Cloud-based environments further enhance these capabilities by providing scalable, secure, and cost-effective infrastructure for data storage, processing, and analysis. This paper explores how AI and Big Data technologies are being utilized to optimize government decision-making processes, particularly in cloud-based environments. It examines their applications in policy analysis, resource allocation, and public service delivery, emphasizing their role in increasing efficiency, transparency, and responsiveness in governance. Furthermore, the paper discusses key challenges, such as data privacy, ethical concerns, and technical barriers, which must be addressed to fully leverage these technologies. By highlighting best practices and future trends, this study provides a comprehensive framework for the adoption of AI and Big Data technologies in government. Ultimately, the paper argues that the convergence of these technologies in cloud-based ecosystems is not just an operational upgrade but a paradigm shift in how governments can harness innovation for societal benefit.