ENHANCING PERFORMANCE IN THE NIGERIAN CIVIL SERVICE THROUGH ADVANCED AI TECHNOLOGIES: A CASE STUDY OF BIGGAN APPLICATIONS
Author:Samuel Atache, Amina Catherine Ijiga and Toyosi Motilola Olala
This is an open access article distributed under the Creative Commons Attribution License CC BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
This study explores the transformative potential of advanced artificial intelligence (AI) technologies, specifically BigGAN (Big Generative Adversarial Networks), in enhancing performance within the Nigerian civil service. As public sector efficiency and service delivery remain critical challenges, the integration of cutting-edge AI solutions presents a promising avenue for improvement. BigGAN, renowned for its capability to generate high-quality and diverse data representations, offers significant opportunities for optimizing various civil service functions, including data management, decision-making, and resource allocation. This research investigates the applicability of BigGAN in streamlining administrative processes, improving predictive analytics for policy-making, and enhancing overall operational efficiency. By conducting a comprehensive analysis of existing workflows and identifying key areas where AI integration can have the most impact, this study provides actionable insights and practical recommendations for policymakers and civil service administrators. The findings underscore the potential of BigGAN to not only revolutionize performance metrics but also to foster a culture of innovation and responsiveness within the Nigerian civil service.
Pages | 143-151 |
Year | 2024 |
Issue | 2 |
Volume | 1 |