Abstract

Today’s time is an era of digital revolution and information explosion that has given rise to massive technological growth in every aspect of life. One such crucial digital transformation technology is artificial intelligence (AI). These new AI-based applications need edge cloud computing with connections having minimum latency. AI is a technique that involves optimization techniques, search algorithms, planning models, and machine learning (ML). Optical networking is using AI techniques for a long time but now they have gained popularity mainly the ML of AI. The areas of optical networking where AI can be used are optical transmission, monitoring of transmission quality, monitoring of performance, and planning and operation of the network also. Optical networking is becoming more complex day by day to handle the rapidly growing data and connection. The generation, transmission, and receiving of such high volume data will require cost and power-efficient advanced high-performance networking technologies. Incorporating AI in optical networks certainly offers plenty of opportunities for introducing smart and intelligent decision making in network management and control. AI can also handle the concerns like the establishment of connection, self-optimization, and self-configuration, with the help of estimation and prediction of the present state of the network and historical data thus providing the network automation.

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