How Caribbean Businesses Are Using AI: Ten Applications That Are Producing Results
Maestro Maestro

How Caribbean Businesses Are Using AI: Ten Applications That Are Producing Results

the businesses gaining measurable returns from AI are not the ones chasing the most advanced tools. They are the ones matching specific AI capabilities to specific operational problems, then verifying that the output holds up under real conditions.

This distinction matters for the Caribbean, where the margin for expensive mistakes is thinner than in larger markets. A hotel chain in Barbados does not have the same error budget as a multinational with offices in forty countries. A credit union in Trinidad cannot absorb the cost of an AI system that generates plausible but wrong risk assessments for six months before someone notices.

What follows are ten AI applications producing measurable outcomes across Caribbean businesses right now, drawn from consulting engagements, industry data, and the operational realities of small and mid-sized economies.

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Contexto Regional Específico: Dando Voz a América Latina en la Era de la IA
Maestro Maestro

Contexto Regional Específico: Dando Voz a América Latina en la Era de la IA

En un mundo cada vez más moldeado por la inteligencia artificial, las historias que se cuentan, las soluciones que se recomiendan y los datos que impulsan las decisiones a menudo provienen de otro lugar. Provienen de ciudades y países que están sobrerrepresentados en los datos de entrenamiento de grandes modelos de lenguaje como ChatGPT. Pero ¿qué pasa con México, Colombia, Perú y Argentina? ¿Qué pasa con Jamaica, Trinidad, Guyana, Honduras y República Dominicana? ¿Qué pasa con pueblos rurales, pequeñas islas y comunidades fronterizas que viven vidas ricas y complejas pero existen apenas, si acaso, en estos cerebros digitales?

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Region-Specific Context (RSC) in AI: Representation, Accuracy, and the Power to Shape Our Own Future
Maestro Maestro

Region-Specific Context (RSC) in AI: Representation, Accuracy, and the Power to Shape Our Own Future

In a world increasingly shaped by artificial intelligence, the stories that are told, the solutions that are recommended, and the data that drives decisions often come from somewhere else. They come from cities and countries that are overrepresented in the training data of large language models like ChatGPT. But what about Jamaica? What about Trinidad, Guyana, Honduras, the Dominican Republic?

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