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The 6 barriers to implement artificial intelligence in Latin America

The 6 barriers to implement artificial intelligence in Latin America

Meta or Google have integrated Artificial intelligence to plan a next generation of products in the future. (photo: Security 360 Magazine)

Currently, the artificial intelligence it is part of the digital ecosystem in which users constantly live. Some companies, like Goal either Google have integrated this technology, which is capable of learning, to plan a next generation of products in the future. In Latin Americahowever, this integration is not having the same openness due to various factors.

Vice President of Technology IBM for Latin America, Joaquim Campos, indicates in his presentation Perspectives of Latin America, that there are currently 6 main barriers to introducing Artificial Intelligence in companies in the region that correspond not only to people, but also to technology companies that offer these services.

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Skills: People have not developed significant knowledge or experience on the implementation of Artificial Intelligence, which is why they are limited when considering applying this technology in their businesses or organizations.

Costs: According to IBM, 90% of companies that want to start with the application of AI tools have difficulty scaling their technology to meet those needs.

According to IBM, there are currently 6 main barriers to introducing Artificial Intelligence in Latin American companies: skills, costs, platforms, 'vendor lock-in', complexity and scalability.  (REUTERS/Sergio Perez//File Photo)
According to IBM, there are currently 6 main barriers to introducing Artificial Intelligence in Latin American companies: skills, costs, platforms, ‘vendor lock-in’, complexity and scalability. (REUTERS/Sergio Perez//File Photo)

Platforms: Having knowledge about the development of Artificial Intelligence is not enough if there are no tools to implement these models in workplaces.

‘Vendor lock-in’: In the event that the company requires the intervention of another company to start the development of a project that has Artificial Intelligence, companies must be careful with strategies such as the ‘vendor lock in’.

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This consists in the fact that the main service of the IA and the Cloud are concentrated in a single provider and, in case you want to change the service, this cannot be done due to incompatibilities between the one you leave and the one you want to contract. In addition to meaning a greater investment.

Complexity: In order to develop an environment using Artificial Intelligence, it is necessary to unify and systematize the multiple sources of information that can be of help during the development stage. AI adoption grew steadily, with 29% of companies in the region actively implementing it.

Scalability: Artificial Intelligence projects are complicated to integrate and scale progressively. Only 29% of companies in the Latin America region were able to achieve this, which is still a very low number

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Exploration of AI in Latin America

According to IBM data in its ‘AI adoption Index 2022’ for the Latin American region, the country with the highest Artificial Intelligence implementation indicator is Brazil with 41% of organizations; followed by Mexico (31%), Chile (30%), Peru (28%), Colombia (21%) and Argentina (18%).

Artificial Intelligence adoption figures in Latin America (IBM)
Artificial Intelligence adoption figures in Latin America (IBM)

In general, according to the technology company, Latin America barely reaches 29% implementation of Artificial Intelligence in companies and businesses, a figure below the global average, which is 34% and which places China (58%) and India (57%) as the countries with a higher indicator of implementation of this technology in business.

However, according to IBM figures, despite the fact that Latin America is below the global average in the implementation of Artificial Intelligence, it is among the first places in terms of its deployment with 66% in general without specialization in an industry, only behind China’s automotive development (67%) which has an overall percentage of 84%.

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