{"id":32506,"date":"2025-12-18T23:25:09","date_gmt":"2025-12-19T05:25:09","guid":{"rendered":"https:\/\/reseller.lat\/?p=32506"},"modified":"2025-12-18T23:28:09","modified_gmt":"2025-12-19T05:28:09","slug":"la-ia-en-latam-falta-actualizacion-nube-y-datos-organizados","status":"publish","type":"post","link":"https:\/\/reseller.lat\/?p=32506","title":{"rendered":"La IA en Latam, falta actualizaci\u00f3n, nube y datos organizados: TOTVS"},"content":{"rendered":"\n

La discusi\u00f3n sobre la inteligencia artificial<\/strong> (IA) ha ganado terreno en la agenda corporativa latinoamericana<\/strong>. Pero la distancia entre el discurso y la generaci\u00f3n efectiva<\/strong> de valor sigue siendo considerable para una alta adopci\u00f3n<\/strong> de IA en Latam.<\/p>\n\n\n\n

Aunque la regi\u00f3n vive un proceso de creciente digitalizaci\u00f3n<\/strong> y enfrenta una presi\u00f3n competitiva cada vez mayor. Buena parte de las empresas a\u00fan carece<\/strong> de las condiciones estructurales m\u00ednimas para obtener resultados consistentes<\/strong> con el uso de esta tecnolog\u00eda. <\/p>\n\n\n\n

No se trata de un desajuste puntual<\/strong>, sino sist\u00e9mico. Y se explica, principalmente, por la ausencia de tres elementos fundamentales<\/strong>: sistemas actualizados, operaci\u00f3n en la nube y datos organizados<\/strong>.<\/p>\n\n\n\n

Un an\u00e1lisis reciente de McKinsey<\/strong> revela que s\u00f3lo cerca del 40 %<\/strong> de los proyectos de IA logran avanzar m\u00e1s all\u00e1<\/strong> de la fase piloto En gran medida debido a limitaciones<\/strong> en la infraestructura de TI, en la capacidad de integraci\u00f3n<\/strong> y en la calidad de la informaci\u00f3n<\/strong> disponible.<\/p>\n\n\n\n

En sectores con m\u00e1rgenes presionados<\/strong>, volatilidad econ\u00f3mica o mayor exposici\u00f3n<\/strong> regulatoria, aspectos frecuentes en varios pa\u00edses<\/strong> de Latinoam\u00e9rica, estas barreras se vuelven a\u00fan m\u00e1s evidentes<\/strong>.<\/p>\n\n\n\n

La IA, por s\u00ed sola, no corrige estos problemas<\/strong>.<\/p>\n\n\n\n

La migraci\u00f3n a la nube<\/strong>, por su parte, se ha consolidado como condici\u00f3n<\/strong> para la escalabilidad.<\/p>\n\n\n\n

Reconfiguraci\u00f3n de la IA en Latam<\/strong><\/h2>\n\n\n\n

Estudios globales, como el AWS Cloud Adoption Report<\/strong>, indican que el 80 %<\/strong> de las empresas ya utiliza computaci\u00f3n<\/strong> en la nube. Y que m\u00e1s del 60 %<\/strong> ejecuta aplicaciones cr\u00edticas en entornos cloud<\/strong>.<\/p>\n\n\n\n

M\u00e1s que un cambio t\u00e9cnico<\/strong>, esto representa una reconfiguraci\u00f3n<\/strong> de la manera en que las organizaciones gestionan costos<\/strong>, riesgos y tiempos de respuesta:<\/p>\n\n\n\n

Dimensiones esenciales<\/strong> en mercados sometidos a ciclos econ\u00f3micos inestables<\/strong>, cambios regulatorios frecuentes y competencia global<\/strong> creciente.<\/p>\n\n\n\n

El tercer eje, la calidad de los datos<\/strong>, es decisivo. Sin consistencia, estandarizaci\u00f3n<\/strong> y gobernanza, la IA pierde eficiencia<\/strong>.<\/p>\n\n\n\n

Pero tambi\u00e9n amplifica el margen de error<\/strong>, generando diagn\u00f3sticos incompletos y decisiones imprecisas<\/strong>.<\/p>\n\n\n\n

Informes del McKinsey Global Institute<\/strong> se\u00f1alan que las empresas que estructuran adecuadamente sus bases de datos<\/strong> registran mejoras de productividad<\/strong> de entre 15 %<\/strong>. Y 25 %<\/strong>, impulsadas por la reducci\u00f3n del retrabajo<\/strong>, una mayor precisi\u00f3n anal\u00edtica y procesos m\u00e1s \u00e1giles<\/strong>.<\/p>\n\n\n\n

Actualizar sistemas, migrar a la nube<\/strong> y organizar los datos no constituye, por lo tanto, un debate t\u00e9cnico<\/strong>, sino una decisi\u00f3n estrat\u00e9gica de competitividad<\/strong>.<\/p>\n\n\n\n

Son definiciones que determinan si la IA se convertir\u00e1<\/strong> en un instrumento real de transformaci\u00f3n o en una apuesta prematura<\/strong>.<\/p>\n\n\n\n

En los mercados latinoamericanos<\/strong>, donde la eficiencia operacional influye directamente en la supervivencia empresarial<\/strong>, esta preparaci\u00f3n deja de ser una recomendaci\u00f3n<\/strong> y se convierte en una condici\u00f3n<\/strong>.<\/p>\n\n\n\n

La trayectoria de la IA<\/strong> en Latam en el \u00e1mbito corporativo no comienza con algoritmos avanzados<\/strong>, sino con una buena estructura<\/strong> para que la IA opere.<\/p>\n\n\n\n

Es la solidez de ese cimiento<\/strong> lo que permitir\u00e1 que la tecnolog\u00eda cumpla su funci\u00f3n<\/strong>:<\/p>\n\n\n\n

Apoyar decisiones, mejorar m\u00e1rgenes<\/strong> y ampliar la capacidad de respuesta de las organizaciones.<\/p>\n\n\n\n

Sin ello, la\u00a0IA sigue siendo una promesa<\/strong>, y no una herramienta capaz de\u00a0potenciar<\/strong>\u00a0los resultados\u00a0operativos y financieros<\/strong>\u00a0en una regi\u00f3n compleja y marcada por inestabilidades pol\u00edticas y\u00a0econ\u00f3micas<\/strong>.<\/p>\n\n\n\n

Por Javier Marbec<\/a>, director de Mercado Internacional de TOTVS<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

La discusi\u00f3n sobre la inteligencia artificial (IA) ha ganado terreno en la agenda corporativa latinoamericana. Pero la distancia entre el discurso y la generaci\u00f3n efectiva de valor sigue siendo considerable para una alta adopci\u00f3n de IA en Latam. Aunque la regi\u00f3n vive un proceso de creciente digitalizaci\u00f3n y enfrenta una presi\u00f3n competitiva cada vez mayor. Buena parte de las empresas a\u00fan carece de las condiciones estructurales […]<\/p>\n","protected":false},"author":3,"featured_media":32510,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84,61],"tags":[998,3138,3137,350,388,2177,180,182,111,2938,59,154,3136,1793,296,2099,157],"class_list":["post-32506","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-opinion","category-todas-las-noticias","tag-adopcion-de-ia","tag-aws-cloud-adoption","tag-computacion","tag-datos","tag-estrategia","tag-gobernanza","tag-ia","tag-infraestructura","tag-inteligencia-artificial","tag-javier-marbec","tag-latam","tag-latinoamerica","tag-mckinsey-global-institute","tag-migracion","tag-nube","tag-totvs","tag-transformacion-digital"],"yoast_head":"\nLa IA en Latam: falta actualizaci\u00f3n, nube y datos organizados<\/title>\n<meta name=\"description\" content=\"Los sistemas modernos, 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