HomeTelecomTelefónica targets AI-era monetization with automation push, transport overhaul

Telefónica targets AI-era monetization with automation push, transport overhaul


At OFC, Telefónica’s CTO outlined its technique to reverse persistent income challenges 

In sum — what to know:

Modernization focus: Telefónica is eyeing a mix of methods to modernize the community in an effort to generate new income streams

Degree 4 automation: The operator is concentrating on to attain Degree 4 community autonomy by 2030 utilizing AI and SDN to reduce errors and automate operations

Shift towards IPoDWDM: The corporate plans to maneuver 60% of its optical capability to coherent pluggable optics by 2027, anticipating to see important price and vitality reductions 

Whereas community visitors continues to develop at a gradual clip, revenues have remained largely sluggish for telcos. It’s a cussed drawback that many operators are struggling to reverse in a significant manner. 

Telefónica is intent on turning the issue round on its head. Talking on the keynote handle for the Community Operator Summit at OFC this week, Telefónica’s chief know-how officer, Cayetano Carbajo Martin outlined the supplier’s technique to tackle the difficulty. 

“We are attempting to implement the technical lever for growing our income,” Martin said. “We’re pushing our community for growing monetization.”

Telefónica is cranking up efforts in three key areas: automation, transport community improve, and a transfer towards coherent pluggables. 

The Madrid-based supplier is pursuing automation to advance from handbook, error-prone environments to 1 that’s self-optimized, environment friendly, and low-cost. To that finish, the corporate launched its Autonomous Community Journey (ANJ) program, a multi-year initiative, in 2021with the purpose to succeed in Degree 4 autonomy — a excessive state of autonomy as categorized by TM Discussion board — by 2030.

“Telefónica has been one of many few operators that has dedicated to succeed in Degree 4 of autonomy by 2030, and we dedicated that in entrance of our self holders and analysts,” Martin stated.

The corporate is leaning on open interfaces and disaggregation to make it occur. “We will do many extra issues with open interfaces than with proprietary interfaces,” he famous, including that software-defined networking (SDN) will even be a key piece of the puzzle, and an integration level for AI. 

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Telefónica targets AI-era monetization with automation push, transport overhaul 2

A key aspect that’s aiding Telefónica in reaching its aims is its dedication to undertake AI. Martin outlined a number of AI-driven use circumstances which are already in improvement, together with pure language interplay, automated root trigger evaluation (RCA), and creation of digital twins to unlock better diploma of community autonomy. Aspect by facet the corporate can also be exploring federated studying approaches to tighten knowledge privateness, an issue typically linked with scaling AI capabilities. 

“Synthetic intelligence will come to the operation of the transport community by way of the SDN,” Martin stated, including that will probably be simpler to use AI by way of a standardized interface that SDN offers.

One other main announcement that Martin made is that as a part of the modernization effort, the corporate is concentrating on a significant transport layer improve. It’s transferring its spine to 400G and backhaul to 100G. “Such an enormous improve in pace is required even in these operations the place we’ve got solely cellular entry, and for positive the place we’ve got mounted entry,” he stated.

Past that, the supplier can also be migrating to coherent pluggables, which was a significant theme at OFC this 12 months, with the purpose to shift 20% of its optical capability to IP over DWDM. Moreover, the corporate pledged to ramp it as much as 60% by 2027.

There was substantial momentum in the direction of adoption of IPoDWDM currently with rising recognition of its larger bandwidth effectivity, scalability, and value financial savings which are important for AI-driven functions with quicker knowledge transmission necessities. 

“There are quite a lot of obstacles, some cultural and different industrial for doing so, however I believe as operator, we’ve got to benefit from this progress and use IP over DWM,” Martin emphasised. 

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