It integrated Red Hat's OpenShift AI, as well as composable architectures and models such as Granite 3.0. The goal is to be able to address key challenges in its daily operation, with improved response times, resource management and data privacy.

The Network Operations Center (NOC) of Arsat's data center manages about 1,200 projects, with 85% of clients from state areas. Mariano Greco, president of the Argentine state-owned company, presented during the first "AI Week", in December 2024, the work implemented to automate the NOC, characterized by the multiplicity of clients, with particular architectures and critical systems.

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Arsat applies AIOps in its Data Center NOC

It integrated Red Hat's OpenShift AI, as well as composable architectures and models such as Granite 3.0. The goal is to be able to address key challenges in its daily operation, with improved response times, resource management and data privacy.

MORE ANALYSIS

Just 10% of enterprise workloads have moved to the cloud

AWS, Google Cloud, and Oracle have expanded their presence in the region recently, aiming to offer lower latency and develop solutions tailored to specific verticals. Amazon holds 50% of the cloud workloads.

Data center energy demand increased by 12% from 2017 to 2023

This was indicated in a joint report by the ITU and the WBA. There are relevant data points: 164 digital firms are responsible for 2.1% of global electricity consumption, and just 10 of them accounted for half of the total.

Economic uncertainty shakes the regional smartphone market

WEF highlights economic risks from AI-induced disruptions

Economists consulted by the World Economic Forum warned about the impact of AI on employment and social destabilization, due to its effects on the course of the economy.

Weathering the impact is just the beginning: Ultimately, operators are positioning themselves as AI companies

First comes end-user adoption of AI and its footprint across networks. Next is AI integration into operators' internal processes. Finally, the possibility of becoming an AI-native company. These are the operator experiences.

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