“The networks that are needed to implement in real time are 200 gigabits per second. When most data centers operate at 10 or 25 gigabits, 10 times higher performance at the network level is required than it is today and that will be a challenge for companies that want to implement this type of tools in the short term,” said Florean.
In addition to this issue, the development of next-generation networks, such as 5G, is still lackluster in the industry. According to the State of Connectivity 2024 report by Cradlepoint, a subsidiary of Ericsson, the pressure to have this type of networks has grown in recent years.
The development of 5G in Mexico began a little more than two years ago, with the help of América Móvil and AT&T, but its densification has been slow due to the large costs involved in the new telecommunications network, such as installing 10 times more infrastructure. , compared to what was available with 4G, as well as integrating new spectrum bands, an input that in the country has the highest prices internationally.
It is estimated that, so far, the fifth generation of networks is enabled in 172 cities in the country, of which 125 metropolises are activated by Telcel and 47 by AT&T. But companies such as the operator of American origin have warned that if the price of the spectrum is not modified, the company will not enter tenders again to acquire bands suitable for 5G, which would further undermine the development of this network.
Another challenge facing the development of AI is focused on specialized talent. The Lenovo report points out that only 24% of organizations are thinking about hiring expert collaborators on the subject, while IDC points out that 61% of organizations want to implement AI courses with existing talent.
“There is a great dependence on third parties and this will depend a lot on the growth of certain areas in companies, and the talent they are looking for, however there is a lag in certain specialties,” said Florean.
IDC’s CIO’s guide notes that 62% of IT recruiters say it is “extremely difficult” to find AI-related talent.
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