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There are many barriers to the implementation of 5G networks, and one way the market addresses those challenges is by integrating artificial intelligence into platforms. More than nearly half of decision-makers from 132 global cell phone carriers said they anticipate AI to be integrated into their 5G networks even by the end of 2020. The primary goal of AI integration is to minimize capital costs, enhance network capacity, and build new revenue streams.

By increasing network reliability and delivering personalized services, AI is already being used to boost customer support and build strong customer relationships, 55% of decision-makers said. Approximately 70% agree that using AI in network preparation is the best way to recover profits earned in converting networks to 5G. Approximately 64% of survey respondents would focus their AI efforts on network output management. Other fields in which cellular judgment intend to prioritize AI investments is handling SLAs, product mix, networks, and sales.

There are concerns associated with integrating AI into 5G networks, of course. Effective methods for capturing, organizing, and evaluating the massive amounts of data gathered by AI are necessary to develop. For that purpose, early AI adopters who find workable solutions will appear as the clear leading contenders as 5G networks become interconnected [18].

5G raises new challenges for mobile telecom service providers, although the technology solves some complexities by integrating artificial intelligence (AI) capability into the infrastructure.

Key Findings

 The key priority of AI’s networks now is on reducing capital investment, enhancing network capacity and creating new sales streams.

 In order to enhance customer support and increase customer loyalty, AI would be crucial.

 In their systems, AI will help development communications service providers (CSPs) move to 5G to rebound.

 New data problems are created by implementing AI, even as it solves network complications.