March 29, 2024
Ana Cláudia

Brazil is the country with the highest adoption of AI in Latin America, according to the survey

The Artificial Intelligence, or AIA growing technological resource in Brazil, this is the country that uses this technology the most. Technology In Latin America. According to data from the SAS – Analytics & Solutions Software “Advancements in Organizational Culture Based on Data, Analytics and AI” study conducted by IDC – International Data Corporation, 63% of companies on Brazilian soil use AI on average. 47% across the region.

Artificial intelligence

The business sectors that make the most use of artificial intelligence in Brazil are finance, retail and manufacturing. Besides, 90% of Brazilian companies invest in analytics data to discover consumption patterns.

This study conducted a survey of IT – IT leaders, president and directors and managers, among 33 Latin American companies. Interviews were conducted between May and July this year in Brazil, Argentina, Chile, Colombia, Mexico, Peru, Costa Rica and the Dominican Republic.

In addition to the data already mentioned, Brazil is a leader in the use of analytics and artificial intelligence to measure the reliability and security of companies’ operations. The Brazilian average is 54% and the regional average is 73%.

Andre Novo, country manager of SAS Brazil, said the survey showed that the Brazilian market understands that it can only get to know its customers through more accurate solutions through data analysis.

The study shows that in 46% of cases, the IT director is the decision-maker to use artificial intelligence and deep data analysis in organizations.

In general, the most common applications of artificial intelligence in Latin America are:

  • Video on PC (48%);
  • automation of decision-making processes (47%) knowledge (44%);
  • text recognition (44%);
  • anomaly detection (43%);
  • Internet of Things – IoT (42%);
  • Audio and voice recognition (41%).

Contrary to these data, the survey also shows that 70% of companies fail to comply with privacy regulations in their internal data handling processes.