The use of artificial intelligence would triple the productivity rate for that year. The business services industry in the country would be the fastest growing.
He world economic growth by 2030 it would be US$15.7 trillion driven by the artificial intelligence (AI); While in the PeruAs a consequence of the high adoption of AI technology, the national GDP could double and productivity indices would triple to 7.3% for said yearaccording to forecasts of the National Center for Strategic Planning (Ceplan).
In that sense, the Inter-American Development Bank (IDB) considers that the business services industry in the country would be the fastest growing, sensing the need for 279% more AI-trained staff that would be formed in private and public institutions.
In accordance with Ceplan, worldwide there is a growing trend of investment in AI technologies; it is so by 2021 the investment value reached approximately US$201,000; representing an increase of US$198,223 million compared to 2022.
In said year, The US was the country that registered the highest investment, reaching a value of US$106,741; In second place, China was ranked with US$46,898 million. Together, both countries represented 76% of the total investment for that year.
Investment in AI technology in Latin America
In Latin America, investment occurs in a lower proportion, but under the same growing trend; being Brazil the most representative country with a value of US$1,099 million in the year 2021 compared to US$33 million in 2012.
“It is worth mentioning that since 2020, various Latin American countries have begun to establish AI strategies, starting with promoting research and development of autonomous systems in universities,” says Ceplan.
AI projects in Peru
He Peru started AI projects since 2018; however, it presented its strategy for the development of this technology only in 2021 with the aim of aligning the main axes of the initiative.
Under this framework, the Ministry of Development and Social Inclusion promoted an automatic learning and image recognition platform that allows early detection of anemia. Similarly, in the context of the health crisis, two new projects were developed, the first called COVID: Dynamic Virus Control, which used artificial intelligence to perform virus pre-diagnostics; and a second project called SIAMA, in which deep learning was used to inform, alert, monitor and assist people with symptoms of the virus.
Likewise, by 2021 Peru presented its National Artificial Intelligence Strategy (ENIA) that defined six “Strategic Axes” aimed at the adoption and appropriation of AI as a driver of national development; These axes were: Talent Training and Attraction (training of research skills), Economic Model (AI as an innovation tool), Technological Infrastructure (facilitate the creation of technological infrastructures that are the basis for AI), Data (facilitate access to high-quality public data), Ethics (ethical, sustainable and transparent guidelines for data protection) and Collaboration (collaborative ecosystem at the national and international level in the field of AI).
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