{"id":12201,"date":"2020-10-27T11:52:10","date_gmt":"2020-10-27T11:52:10","guid":{"rendered":"https:\/\/projectsofar.info\/aisuperior\/?post_type=blog&p=12201"},"modified":"2023-12-07T16:45:48","modified_gmt":"2023-12-07T16:45:48","slug":"eight-actionable-ai-tips-for-business-decision-makers","status":"publish","type":"blog","link":"https:\/\/aisuperior.com\/es\/blog\/eight-actionable-ai-tips-for-business-decision-makers\/","title":{"rendered":"Ocho consejos pr\u00e1cticos de IA para tomadores de decisiones empresariales"},"content":{"rendered":"

Como l\u00edder empresarial o tomador de decisiones empresariales, saber cu\u00e1ndo y c\u00f3mo adoptar tecnolog\u00edas emergentes puede parecer una tarea formidable. La Inteligencia Artificial (IA) es una de esas tecnolog\u00edas y ocupa un lugar \u00fanico en el mercado tecnol\u00f3gico emergente en general. Se estima que para 2021, 80% de todas las tecnolog\u00edas emergentes tendr\u00e1n\u00a0Fundamentos de la IA<\/a>. En pocas palabras, si desea invertir para llevar su empresa al siguiente nivel, debe involucrarse con la IA. Pero, \u00bfc\u00f3mo deber\u00edan los l\u00edderes empresariales abordar la IA? Vamos a ver.<\/p>\n

Es hora de invertir en IA<\/h3>\n

Ahora estamos firmemente en la era de la IA e ignorarla ya no es una opci\u00f3n. Empresas de todos los tama\u00f1os est\u00e1n implementando soluciones de inteligencia artificial para obtener una mayor eficiencia, productividad y mayores ingresos. Seg\u00fan una investigaci\u00f3n de\u00a0Gartner<\/a>, solo 4% de empresas en 2019 hab\u00edan adoptado la IA. Solo un a\u00f1o despu\u00e9s, 14% de empresas han implementado IA, y otros 23% tienen la intenci\u00f3n de implementarla en los pr\u00f3ximos 12 meses. Esto muestra un patr\u00f3n claro; M\u00e1s empresas que nunca est\u00e1n invirtiendo en IA. Las empresas que no invierten pronto corren el riesgo de quedarse atr\u00e1s y no poder seguir el ritmo de sus competidores.<\/p>\n

Determinar el "por qu\u00e9"<\/h3>\n

Las tecnolog\u00edas emergentes como la inteligencia artificial y la ciencia de datos no solucionar\u00e1n m\u00e1gicamente los problemas ni mejorar\u00e1n su negocio por s\u00ed solas. Son herramientas que deben utilizarse para mejorar su situaci\u00f3n actual. Cuando considera implementar soluciones de inteligencia artificial, debe determinar por qu\u00e9 las desea. \u00bfTiene un objetivo espec\u00edfico en mente? Por ejemplo, \u00bfquiere ampliar su comunicaci\u00f3n con los clientes m\u00e1s all\u00e1 de su horario de atenci\u00f3n? \u00bfO reducir los tiempos de respuesta y disminuir la carga de su personal de servicio al cliente? Si es as\u00ed, un chatbot es una excelente inversi\u00f3n.<\/p>\n

Conc\u00e9ntrese en las \u00e1reas donde puede generar un impacto significativo r\u00e1pidamente<\/h3>\n

La IA tiene algunas capacidades realmente impresionantes, pero no es necesario hacerlo todo a la vez. Si est\u00e1 comenzando su viaje hacia la IA, es mejor centrarse en las \u00e1reas de su negocio que pueden ver las mejoras m\u00e1s notables de la IA pero con poco esfuerzo. La automatizaci\u00f3n rob\u00f3tica de procesos simple puede mejorar enormemente la eficiencia y reducir los costos laborales en varios departamentos, y es f\u00e1cil de implementar. Otro ejemplo es el componente de calificaci\u00f3n crediticia que puede automatizar completamente el proceso de suscripci\u00f3n y reducir el riesgo al tiempo que aumenta las tasas de aceptaci\u00f3n. Estas y otras soluciones simples de IA son un excelente punto de partida.<\/p>\n

Incorpore a los empleados m\u00e1s entusiasmados<\/h3>\n

Seg\u00fan un estudio de Microsoft, 67% de ejecutivos y 59% de empleados encuestados est\u00e1n abiertos a experimentar con la IA. Esto muestra un claro inter\u00e9s y entusiasmo en torno a la IA en nuestros lugares de trabajo. Si desea implementar soluciones de IA con \u00e9xito, debe fomentar este inter\u00e9s. \u00bfC\u00f3mo haces esto? Interactuando con los empleados m\u00e1s entusiasmados con la IA. Estos empleados ser\u00e1n sus promotores de la IA y har\u00e1n que sea mucho m\u00e1s f\u00e1cil impulsar el cambio.<\/p>\n

Utilice la democratizaci\u00f3n de la IA en su beneficio<\/h3>\n

En una sociedad democr\u00e1tica, todas las personas y sus puntos de vista est\u00e1n representados. Entonces, si algo se democratiza, todas las personas podr\u00e1n experimentar los beneficios de un recurso (en este caso, la IA). Actualmente existe una gran escasez de habilidades en lo que respecta a las ciencias de datos, lo que dificulta que las empresas se familiaricen con sus datos. Sin embargo, no todo son malas noticias. Existen toneladas de algoritmos de IA gratuitos o asequibles que puede utilizar para obtener una comprensi\u00f3n m\u00e1s profunda de sus datos.<\/p>\n

\u00bfEs usted constructor o comprador?<\/h3>\n

Debes elegir dos opciones cuando decidas implementar la IA; \u00bfQuiere comprar una soluci\u00f3n de IA predise\u00f1ada o crear la suya propia? La mayor\u00eda de los expertos coinciden en que comprar un algoritmo predise\u00f1ado es la forma m\u00e1s sencilla de iniciar procesos de IA. Las aplicaciones de IA predise\u00f1adas son r\u00e1pidas de implementar, generalmente m\u00e1s baratas y el mantenimiento es m\u00e1s f\u00e1cil y menos costoso. Sin embargo, a menudo este tipo de soluciones no est\u00e1n dise\u00f1adas para abordar exactamente su problema, pueden tener una funcionalidad limitada y, al final, volverse in\u00fatiles cuando se da cuenta de que necesita an\u00e1lisis \u00fanicos. En este caso, crear sus propios an\u00e1lisis es la \u00fanica forma correcta de proceder.<\/p>\n

Los datos como mentalidad<\/h3>\n

Los datos desempe\u00f1an un papel integral a la hora de guiar el futuro del negocio, particularmente con la inteligencia artificial y el an\u00e1lisis. Es esencial que todos los empleados comprendan bien los datos y c\u00f3mo se pueden aprovechar para obtener informaci\u00f3n \u00fatil. Esto se aplica a empleados de todos los niveles, desde empleados de rango inferior hasta empleados de C-Suite. Todos deben comprender los datos en un nivel b\u00e1sico, y algunos empleados deben tener una comprensi\u00f3n m\u00e1s profunda de ellos para que la empresa tenga \u00e9xito en la adopci\u00f3n de la IA.<\/p>\n

Sea deliberado e intencional en su enfoque de la \u00e9tica<\/h3>\n

Algunas empresas se entusiasman demasiado con las capacidades de la IA y el aprendizaje autom\u00e1tico y se olvidan de la \u00e9tica. La confianza ha sido durante mucho tiempo un problema en la IA, especialmente en lo que respecta a la adopci\u00f3n de la IA en los negocios. Muchas personas desconf\u00edan de la IA y, por lo tanto, quieren limitar su exposici\u00f3n a ella. Una forma de superar esto es ser deliberado e intencional en su enfoque de la \u00e9tica. Recuerde establecer un conjunto claro de \u00e9tica y compromisos en torno al uso de la IA en su negocio. Los estudios han demostrado que las empresas que hacen esto superan a las que no lo hacen.<\/p>","protected":false},"excerpt":{"rendered":"

As a business leader or business decision-maker, knowing when and how to adopt emerging technologies can seem like a formidable task. Artificial Intelligence (AI) is one such technology, and it holds a unique place in the emerging technology market in general. It\u2019s estimated by 2021, 80% of all emerging technologies will have\u00a0AI foundations. Put simply, […]<\/p>\n","protected":false},"featured_media":12202,"template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"site-sidebar-layout":"default","site-content-layout":"","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":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}}},"categories":[8],"class_list":["post-12201","blog","type-blog","status-publish","has-post-thumbnail","hentry","category-ai","blog_category-ai"],"acf":[],"yoast_head":"\nEight Actionable AI Tips for Business Decision Makers - 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