Advances in Data Science-Driven Technologies

A comprehensive exploration of the intersection between Generative Artificial Intelligence (GAI) and Wireless Sensor Networks (WSNs) , two transformative technologies reshaping data-driven systems. This book examines how generative AI can enhance wireless networks through advanced data analysis, anomaly detection, predictive modeling, and optimization, while also addressing the security risks and ethical challenges of its deployment. Beginning with an overview of GAI and its evolution, the book guides readers through real-world examples, case studies, and frameworks that demonstrate how generative AI can unlock new levels of efficiency and performance in WSNs. Key Features - Examines how Generative AI enhances wireless networks through advanced data analysis, anomaly detection, predictive modeling, and optimization - Demonstrates methods to improve network efficiency, reliability, and adaptability using AI-driven approaches - Addresses critical security risks and ethical challenges linked to the deployment of Generative AI - Explores innovative applications that integrate Generative AI into next-generation wireless systems - Evaluates the impact of AI-driven decision-making on corporate governance and technological adoption - Provides practical insights and case studies illustrating real-world implementations