In the specific cases of the Argentine cities of Bariloche and Luján de Cuyo, progress was made with digital solutions that allow for the improvement of destinations, circuits and services based on demand and the assessment made of each location.

The use of data is generating “smart and tailored tourism” in certain places in Argentina that are pioneers in the field. Martina Gelardi, head of Strategic Planning at Emprotur Bariloche, in the Province of Río Negro, explained in Redes de Gobierno 2024 (Government Networks 2024), the process that led them to modify and improve proposals, based on data collection in principle. The organization analyzed all the tourist products with their comments and public ratings on these platforms through publications on Google and TripAdvisor. They grouped them according to the number of comments and the type of rating and that allowed them to see how they approached the development of each tourist product for its promotion.

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Big Data and use of AI boost exploitation of tourist destinations

In the specific cases of the Argentine cities of Bariloche and Luján de Cuyo, progress was made with digital solutions that allow for the improvement of destinations, circuits and services based on demand and the assessment made of each location.

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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