{"id":14453,"date":"2022-03-18T10:00:53","date_gmt":"2022-03-18T16:00:53","guid":{"rendered":"https:\/\/backup.primeaction.com\/sp\/?p=14453"},"modified":"2022-03-14T11:03:25","modified_gmt":"2022-03-14T17:03:25","slug":"en-mexico-20-de-las-empresas-adoptaron-ia-pero-muchas-de-forma-erronea","status":"publish","type":"post","link":"https:\/\/backup.primeaction.com\/sp\/en-mexico-20-de-las-empresas-adoptaron-ia-pero-muchas-de-forma-erronea\/","title":{"rendered":"En M\u00e9xico, 20% de las empresas adoptaron IA, pero muchas de forma err\u00f3nea"},"content":{"rendered":"

El uso de la Inteligencia Artificial (IA) a nivel empresarial puede ser clave en el mejoramiento de las decisiones en tiempo real. Desde servicios financieros que la utilizan para prevenir fraudes o retailers que aseguran su cadena de suministro, hasta la creaci\u00f3n de experiencias para la atenci\u00f3n al cliente, como los asistentes virtuales; sin embargo, su implementaci\u00f3n no est\u00e1 exenta de errores.<\/p>\n

De acuerdo con datos del estudio AI Adoption Index, realizado por IBM, en M\u00e9xico el 20% de las empresas aceleraron el uso de IA tras la pandemia, pero muchas de ellas se apresuraron a integrar la herramienta de forma s\u00fabita en sus operaciones sin preguntarse qui\u00e9n, c\u00f3mo o por qu\u00e9 la implementaron, apunta el reporte.<\/p>\n

Esta situaci\u00f3n gener\u00f3 errores en la labor de la IA y el 38% de los profesionales de TI en el pa\u00eds citaron la experiencia o conocimiento limitados en torno a la tecnolog\u00eda como una barrera para su negocio, lo cual tambi\u00e9n provoc\u00f3 que no se alcanzaran los resultados deseados con su implementaci\u00f3n.<\/p>\n

Baltazar Rodr\u00edguez, evangelista tecnol\u00f3gico en IBM, comenta que uno de los errores m\u00e1s graves y comunes de una organizaci\u00f3n al explorar la implementaci\u00f3n de IA en su negocio es \u201cfallar al definir un caso de uso preciso y los resultados que esperan conseguir, a partir de una m\u00e9trica cuantificable y clara\u201d.<\/p>\n

\u00bfCu\u00e1les son los principales problemas de las empresas al implementar IA?<\/p>\n

Rodr\u00edguez recomienda establecer la intenci\u00f3n de su sistema de IA, pues comenta que \u201cmuchas empresas realmente no tienen una idea clara de lo que esperan obtener de ella m\u00e1s all\u00e1 de una vaga noci\u00f3n de eficiencia\u201d.<\/p>\n

Adem\u00e1s detalla que es importante refinar las intenciones de la IA en el negocio, a partir de las oportunidades espec\u00edficas en la que se puede utilizar, como mejorar la experiencia del cliente, optimizar la detecci\u00f3n de fraudes, asegurar la cadena de suministro o estar mejor preparado para escenarios imprevistos.<\/p>\n

Una vez que se haya seleccionado el objetivo general de la tecnolog\u00eda, se\u00f1ala el especialista, ser\u00e1 posible definir los casos de usos para las necesidades de los usuarios, es decir, hallar las formas en que la aplicaci\u00f3n de la IA pueda promover las intenciones descritas por el negocio.<\/p>\n

Rodr\u00edguez tambi\u00e9n resalta que el proceso de integrar a la IA en un negocio debe estar acompa\u00f1ado del an\u00e1lisis de los datos de los diferentes equipos de la empresa, pues si bien estos se enfocan en distintas prioridades, eso no significa que la informaci\u00f3n que producen est\u00e9 aislada.<\/p>\n

M\u00e1s bien, la organizaci\u00f3n debe \u201ccrear una visi\u00f3n hol\u00edstica de los datos a lo largo de toda la empresa porque, para implementar casos de uso exitosos con IA, debe asegurar que cuenta con datos precisos, sin sesgos y limpios que se extraen de toda la empresa\u201d, resalta Rodr\u00edguez.<\/p>\n

Andr\u00e9s Mendoza, regional technical manager de la empresa de software, ManageEngine, comenta que esa data tambi\u00e9n es relevante para aumentar la confianza de los usuarios en la empresa y resalta que los motores de IA deben estar planteados de forma que los grupos de desarrollo y dise\u00f1o sepan para qu\u00e9 se usar\u00e1 la informaci\u00f3n y el flujo que van a seguir los datos.<\/p>\n

Las empresas deben planificar las acciones de la IA en su organizaci\u00f3n, lo cual incluye la revisi\u00f3n de las etapas, corregir desv\u00edos y asegurar resultados cuantificables. Sin embargo, uno de los puntos m\u00e1s importantes en este proceso es implicar a un equipo de desarrollo diverso, pues esto influir\u00e1 en c\u00f3mo los usuarios reciben la herramienta.<\/p>\n

\u201cLa estrategia de implementaci\u00f3n debe tener en cuenta la confianza de los usuarios, entender c\u00f3mo reaccionar\u00e1n al ver que la empresa utiliza sus datos y c\u00f3mo demostrar\u00e1 que su sistema de IA es explicable, transparente y confiable\u201d, concluye el especialista.<\/p>\n","protected":false},"excerpt":{"rendered":"

Las compa\u00f1\u00edas mexicanas tuvieron mayor adopci\u00f3n de la Inteligencia Artificial con la pandemia, pero lo hicieron de forma s\u00fabita y con brechas.<\/p>\n","protected":false},"author":10,"featured_media":14456,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"single-post.php","format":"standard","meta":{"_eb_attr":"","site-sidebar-layout":"default","site-content-layout":"default","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center 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