Cesar CantuOver the last couple years, artificial intelligence (AI) has grown more and more relevant in the agendas and the budgets of companies on the verge of digital transformation. In a recent survey done by Baker McKenzie, 43% of responding firms said that they consider AI as a “core technology” for the transformation of their business. In 2020, that number was as low as 14%.
IT talent is worryingly short in supply the world over. The job market is even tighter for AI engineers, who require a very specific set of skills and years of preparation to be shaped into competent professionals in the field. Pressured by rising demand, governments, companies and universities face one steep challenge.
Nearshore Americas had the chance to speak with Enrique Cortés Rello, director of the AI Hub at Mexico’s Tecnológico de Monterrey, one of Latin America’s top universities. Located in the city of Guadalajara, the hub has become an ecosystem where educational institutions, government agencies, private enterprise and NGOs interact to build AI technology that aims to tackle the region’s socio-economic hurdles.
Cortés Rello speaks openly about the state of the IT talent crunch in Mexico, what it takes to shape a good AI engineer and what universities are doing to address the challenges faced by the country’s tech ecosystem.
You can watch the interview below:
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