How AI and ML can Boost Telecommunications
By Telecom Tech Outlook | Thursday, June 06, 2019
FREMONT, CA: The telecommunication industry is making the most of the ongoing technological revolution. Artificial Intelligence (AI) and Machine Learning (ML) are technologies that have high potentials to drive companies in the telecom sector. AI and ML are together going to accelerate the industry to the next level of development. The consumer base for telecoms is growing at a steady rate, and companies are well poised to adopt the two technologies to keep improving services and outreach.
New technologies are going to assist the industry in overcoming some of the challenges it faces currently. The companies handle large volumes of data which can be analyzed better by using the tools of AI. It will help to speed up processing and deliver services faster than ever as well as plug risks. Operational costs can be reduced, and companies can optimize their functional aspects.
With ML and AI, the telecom companies can leverage customer data and understand usage, patterns, and trends, to keep track of individual customer margins. Analyzed data is of great value to the telecoms as it provides insights into customer behavior. The insights allow companies to plan using ML and strategize accordingly to optimize margins and improve services.
Telecom industry depends upon complex infrastructure like mobile towers. The equipment at these locations requires frequent checks to ensure they are functioning correctly. The constant need to inspect is a challenge that telecom companies face. AI-powered surveillance through cameras and other devices can help companies overcome the need to investigate. ML can recognize and flag if any suspicious pattern or event is detected, through the cameras or sensors. Monitoring becomes comprehensive and error-proof with ML and AI.
Chatbots are a great innovation. They leverage AI and ML to assist consumers throughout the day. Telecom companies have to deal with a lot of consumer issues regarding connectivity and equipment for which these companies have to employ support staff. Automated response enables immediate remediation and resolution of problems, and customers services improve vastly. Telecoms can utilize ML and AI in numerous ways and improve their overall performance and network reliability.