Data Analytics and AI Practices for Optical Communication

The convergence of data analytics and artificial intelligence (AI) with optical communication systems has opened new avenues for enhancing network performance, reliability, and scalability. This paper explores the role of data-driven methodologies and AI practices in optimizing optical communication networks. We provide insights into key applications such as fault detection, traffic management, and adaptive modulation, while addressing challenges like data quality, computational complexity, and integration with legacy systems. By highlighting recent advancements and potential use cases, this study aims to serve as a foundation for researchers and practitioners working at the intersection of AI and optical communication.