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The Future of Artificial Intelligence in the Telecommunication Industry

Future of Artificial Intelligence in the Telecommunication Industry

The early 90’s euphoria flagged the dot-com boom when the technology hype had touched its peak due to the extreme rate of Internet adoption. There seems to be an intense level of excitement among the corporate giants and the proletarian startups who expect Artificial Intelligence to bring forth waves of change in our lives theatrically. The hype of AI had been largely created by the billions of dollars that are devoted to this budding domain for advancement. With the hope to “peel the onion” that represents the huge domain of AI, now is the time to understand AI and figure out, the reasons for this hype, along with the impact of Artificial Intelligence that can dramatically change the Telecommunication Industry landscape in the next few years.

Essentially, the Artificial Intelligence is an algorithm based program that is typically called a system that can analytically compute and perceive the reasoning, carry out the planning or object management to satisfy an intent with the help of knowledge and information that usually necessitates human intervention in the traditional scenario. There have been several cases where the AI technology could determine subtle patterns in data that had been missed by humans.

Artificial Intelligence in the Telecommunication Industry

Many global technocrats predict that there will be an outrageous number of adaptations of cloud based AI by the telecom sector in the next few years since such advanced analytics can spearhead a full-scale AI implementation and can provide a better return to the humongous amounts of investment made for artificial intelligence. Also, it is known that the vast connections in networking can be made more penetrable in a resourceful manner through Intelligence, which can effectively make use of the necessary bandwidths, mobility management, resource management for the required radio frequency range, and service provisioning management. All these above factors play a crucial role in cellular networking, so AI can essentially be a cornerstone for the implementation of the 5G networks as it can assist by coordinating and overseeing the cell organized assets in an astute manner.

Several telecom companies are lenient towards the realization of 5G networks as the governments of many countries are supportive of its implementation and further development of 5G infrastructure. They are investing significant amounts of funds for the research, feasibility study and deployment of 5G infrastructure, which will, in turn, vastly influence the future of AI.

The restraining issue of unreliability on AI has been addressed by some of the premier organization that deals with the dynamics of AI, like the Allen Institute for Artificial Intelligence, United States. They claimed in a recent study that even the best of all the programs in Artificial Intelligence cannot be completely reliable, encountering with situations that are different from what they were trained can lead to potentially disastrous results. Also, lack in the availability of Data Scientists, especially across the developing nations, can prove to be a hurdle for the AI in the telecom market in the upcoming years. It can be primarily be reasoned to the lack of universities offering data science programs, that plays a vital role in the developing, training and designing artificial intelligence technology.

Not only will the dwindling numbers of analytical professionals pose an issue, but the records, or in technical terms, “provenance of data” being not clear in the in-house infrastructure or cloud can create loopholes for the hackers and cyber-criminals to snoop around the business data. Mapping, managing and moving data along with the added protection of confidentiality will be a platform in the future of Artificial Intelligence in the telecommunication industry, which will have plenty to work. Even with such risk mitigation’s in place that hold unique to this particular application of AI, the integration of the AI technology into the service provider networks will probably initiate with some manual control over the output by the usage of more confined AI expert/recommendation systems and AI applications. As confidence and reliability of AI will build more, there likely will be a huge number of AI applications that will function independently for the immaculate management of telecommunication and other network functions.

Inkwood Research

Author: Inkwood Research

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