{"id":31242,"date":"2025-06-13T20:00:00","date_gmt":"2025-06-14T02:00:00","guid":{"rendered":"https:\/\/reseller.lat\/?p=31242"},"modified":"2025-06-13T21:06:54","modified_gmt":"2025-06-14T03:06:54","slug":"ia-en-latinoamerica-y-los-proximos-desafios-ntt-data","status":"publish","type":"post","link":"https:\/\/reseller.lat\/?p=31242","title":{"rendered":"IA en Latinoam\u00e9rica y los pr\u00f3ximos desaf\u00edos: NTT Data"},"content":{"rendered":"\n

La inteligencia artificial<\/strong> (IA) en Latinoam\u00e9rica deja atr\u00e1s la etapa de promesa<\/strong> y se consolida como una realidad estrat\u00e9gica<\/strong> en el mundo empresarial.<\/p>\n\n\n\n

As\u00ed lo demuestra el reciente<\/strong> Estudio<\/a> sobre Inteligencia Artificial en Am\u00e9rica Latina 2025, elaborado por NTT DATA y MIT Technology Review<\/strong> en espa\u00f1ol.<\/p>\n\n\n\n

El informe revela una aceleraci\u00f3n significativa<\/strong> en la adopci\u00f3n de estas tecnolog\u00edas en la regi\u00f3n.<\/p>\n\n\n\n

El uso<\/strong> de la IA tradicional creci\u00f3 un 25 %<\/strong> en tan s\u00f3lo un a\u00f1o. Y se afianza como una herramienta fundamental<\/strong> para dar apoyo a los procesos cr\u00edticos<\/strong> del negocio.<\/p>\n\n\n\n

Su adopci\u00f3n plena encuentra a\u00fan algunos desaf\u00edos<\/strong> en el camino, como la escasez de talento especializado o la necesidad<\/strong> de una infraestructura de datos robusta<\/strong>.<\/p>\n\n\n\n

Esto no impide<\/strong> que esta tecnolog\u00eda ya sea un motor clave<\/strong> en sectores como banca, retail y manufactura<\/strong>. Ah\u00ed se aplica fundamentalmente para optimizar la eficiencia operativa<\/strong>, mejorar la toma de decisiones informadas y reducir costos<\/strong>.<\/p>\n\n\n\n

IA generativa: de la periferia a la estrategia<\/strong><\/h2>\n\n\n\n

Por otro lado, la IA generativa<\/strong>, luego de su aparici\u00f3n disruptiva que desafi\u00f3 las reglas<\/strong> del mercado, exhibe un crecimiento vertiginoso<\/strong>:<\/p>\n\n\n\n

En apenas un a\u00f1o y medio alcanz\u00f3 niveles<\/strong> de implementaci\u00f3n iniciales comparables con los de la IA tradicional<\/strong>.<\/p>\n\n\n\n

De acuerdo al estudio, casi el 72 %<\/strong> de las empresas de Latam se encuentran en las primeras fases<\/strong> de adopci\u00f3n.<\/p>\n\n\n\n

M\u00e1s del 43 %<\/strong> hace sus implementaciones<\/strong> iniciales y m\u00e1s del 28 %<\/strong> est\u00e1 en etapa de exploraci\u00f3n. Realizaron investigaciones preliminares<\/strong>, pero no desplegaron ninguna soluci\u00f3n<\/strong>.<\/p>\n\n\n\n

Un 9 % est\u00e1 en \u2018implementaci\u00f3n avanzada\u2019<\/strong> y poco menos del 6 %<\/strong> se considera l\u00edder en su adopci\u00f3n<\/strong>.<\/p>\n\n\n\n

Sin embargo, hasta el momento, su uso contin\u00faa limitado<\/strong> a \u00e1reas m\u00e1s perif\u00e9ricas.<\/p>\n\n\n\n

\u00c1reas como marketing, servicio al cliente<\/strong> y generaci\u00f3n de contenido son las que m\u00e1s aprovechan<\/strong> su valor. As\u00ed como su capacidad<\/strong> para personalizar experiencias y automatizar<\/strong> tareas creativas.<\/p>\n\n\n\n

Por lo tanto, su verdadero potencial transformador<\/strong> apenas comienza a desplegarse. Esto se debe a que persisten barreras<\/strong> como la incertidumbre en su retorno<\/strong> de inversi\u00f3n.<\/p>\n\n\n\n

Adem\u00e1s de la integraci\u00f3n con sistemas existentes<\/strong> y la preocupaci\u00f3n por la calidad<\/strong> y seguridad de los datos. El pr\u00f3ximo desaf\u00edo: resolver estas cuestiones<\/strong> para confiarle operaciones cr\u00edticas.<\/p>\n\n\n\n

Nuevos paradigmas de cara al futuro<\/strong><\/h2>\n\n\n\n

Este a\u00f1o estamos ante un nuevo punto de inflexi\u00f3n<\/strong>. La consolidaci\u00f3n del paradigma Agentic AI:<\/p>\n\n\n\n

Agentes inteligentes<\/strong> y aut\u00f3nomos capaces de ejecutar casos de negocio de manera flexible y adaptativa. A\u00fan en situaciones complejas<\/strong>, sin necesidad de estar programados para eso.<\/p>\n\n\n\n

En la medida en que las empresas conf\u00eden<\/strong> m\u00e1s en estos modelos, la IA generativa<\/strong> se ir\u00e1 trasladando necesaria y progresivamente hacia funciones m\u00e1s estrat\u00e9gicas<\/strong>.<\/p>\n\n\n\n

En conclusi\u00f3n, la IA tradicional y la IA generativa<\/strong> no son herramientas de apoyo, sino motores de transformaci\u00f3n<\/strong>. As\u00ed lo cree pr\u00e1cticamente el total de los encuestados<\/strong>, que considera que estas tecnolog\u00edas tendr\u00e1n un impacto alto o medio<\/strong> a la hora de revolucionar<\/strong> su negocio. Tambi\u00e9n casi todos las tienen en cuenta<\/strong>.<\/p>\n\n\n\n

Apenas un 3 %<\/strong> de las empresas carece<\/strong> de planes para adoptar en el corto plazo la IA tradicional. Y un 16 %<\/strong> se\u00f1ala lo mismo con la IA generativa<\/strong> (a modo comparativo, en 2023 esa cifra era del 25 %<\/strong>).<\/p>\n\n\n\n

A pesar de todos los avances<\/strong>, la revoluci\u00f3n de la IA en la regi\u00f3n reci\u00e9n comienza<\/strong>.<\/p>\n\n\n\n

Las empresas que logren anticiparse<\/strong> a este cambio, resolver los desaf\u00edos y obtener valor<\/strong> de esta tecnolog\u00eda lograr\u00e1n ventajas competitivas<\/strong> en este camino. Un viaje a toda velocidad<\/strong> hacia el futuro<\/strong> de los negocios.<\/p>\n\n\n\n

Por Pablo Sa\u00e9z, Head of Iberia & LATAM Data & Analytics NTT Data<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

La inteligencia artificial (IA) en Latinoam\u00e9rica deja atr\u00e1s la etapa de promesa y se consolida como una realidad estrat\u00e9gica en el mundo empresarial. As\u00ed lo demuestra el reciente Estudio sobre Inteligencia Artificial en Am\u00e9rica Latina 2025, elaborado por NTT DATA y MIT Technology Review en espa\u00f1ol. El informe revela una aceleraci\u00f3n significativa en la adopci\u00f3n […]<\/p>\n","protected":false},"author":3,"featured_media":31248,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[51,84,61],"tags":[1774,527,180,502,111,59,154,1251,1396,1775],"class_list":["post-31242","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-latam","category-opinion","category-todas-las-noticias","tag-desafios","tag-estudio","tag-ia","tag-ia-generativa","tag-inteligencia-artificial","tag-latam","tag-latinoamerica","tag-ntt-data","tag-pablo-saez","tag-revolucion"],"yoast_head":"\nIA en Latinoam\u00e9rica y los pr\u00f3ximos desaf\u00edos: NTT Data<\/title>\n<meta name=\"description\" content=\"El uso de la IA creci\u00f3 un 25 % en tan s\u00f3lo un a\u00f1o, afiaz\u00e1ndose como una herramienta fundamental para los procesos cr\u00edticos del negocio.\" \/>\n<meta name=\"robots\" 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