The evolution of artificial intelligence (AI) is set to propel the telecommunications industry into a new digital economy, full of opportunity and possibility.
AI has evolved and scaled up into endless practical applications being deployed across every business and every function, changing the world.
The cloud landscape is transforming with deployments of the technology at the edge and new tools are being created to meet the needs of a new class of applications.
AI opens the door to new possibilities for Internet of Things (IoT) applications. With the rise of next-generation 5G cellular networks, AI is being increasingly deployed in a multitude of practical use cases from autonomous cars, consumer electronics, and smart sensors.
The applications across telecoms are endless. AI in mobile network infrastructure is expected to reduce costs by automating functions that typically require human interaction and to speed new revenue-generating service offerings, which becomes more critical in the deployment of edge, open RAN, and cloud-native 5G cores.
AI as a key use case for edge computing, and edge computing as a key enabler for AI to deliver on performance and keep costs down.
The combination of AI, machine learning, and edge computing are transforming network infrastructure, enabling new use cases, and creating the next generation of data processing.
The symbiotic nature of edge compute and AI is a particularly fascinating area as AI requires the extremely fast processing of data, which edge computing enables. In turn, AI enables higher performance of compute resources and intelligence at the edge.
A paradigm shift in the data center space led to edge compute and intelligence at the edge. AI at the edge has become a reality with more compact, inexpensive, and powerful hardware now available and a surge in localized edge computing processing data. Moore’s law has continued to hold true and Deloitte has predicted that 1.5 billion edge AI chips will be sold in 2024.
In today’s digital world, customers expect quality and quick service. With this surge in data, telcos have to invest vast amounts in data management infrastructure in order to perform.
AI assists telcos to reduce and optimize operating costs and enhance services. It also helps to reinvent customer relationships and experiences through personalized, intelligent, automated, and bilateral data conversations.
It enables better business insights and predictive analytics. Some major benefits include: product development, better margins, price optimization, customer segmentation, predicting the lifetime value of the customer, and preventing customer churn.
AI brings a new computing paradigm in which algorithms learn from the data to more efficiently handle the ever-growing amount of information being generated.
The algorithms have many other benefits but this importantly includes cutting down on fraudulent activities occurring in the telecom industry (but that’s for another blog!).
AI plays an essential role in today’s telecommunications digital transformation across all verticals. The crucial integration of AI technology within the telecoms industry will help assist and guide digital infra providers to better deliver, manage, optimize, and maintain the infrastructures necessary today and for future networks.
As telcos pursue next-generation applications, AI is not a want, it’s a necessity.
AI is just one of the suggested topics for the PTC’23 Call for Participation. PTC encourages you to share your expertise, insights, and vision in thought-provoking presentations or discussions at PTC’23: 15-18 January 2023 in Honolulu, Hawaii.
The deadline to submit a proposal, including research paper abstracts is 5 July 2022.
PTC looks forward to seeing you at PTC’23.
