Using automation and Artificial Intelligence, telecom companies can slash operating costs and at the same time improve service speed and customer-experience quality, Infosys believes.

“AI is already enabling the core of the telecoms business, with machines doing intelligent human tasks like reading network content to decide how to route traffic.”

Advancements in telecom software are essential – and they’re the way, according to the consulting firm.

“But this is only the beginning. The next stop is the self-optimizing network, where once the designer sets goals and limits, the network control software will structure the network based on existing conditions. The impact will be no less dramatic at the front end. Today, analytics is still doing relatively simple things; the next goalpost is to read obscure and not very visible data patterns to usher a change in customer service, security and every other function.”

Developments in the works are both diverse and expansive, according to Infosys.

“By abstracting the software layer from the physical network infrastructure, AI is well placed to take over many mundane and repetitive operational tasks. The impact of this is that valuable and skilled engineers can be freed up from low-level monitoring and configuration tasks to work on more critical and higher-value activities including building new and expanded network infrastructure, physical repairs, research and development and more.”

Clearly, this is no fad or trendy toy. As far back as 2102 global organizations were creating 2.5 Exabyte (2.5×1018) of data every day.