{"id":126409,"date":"2022-08-22T11:17:58","date_gmt":"2022-08-22T15:17:58","guid":{"rendered":"https:\/\/news.sap.com\/latinamerica\/?p=126409"},"modified":"2023-11-09T10:12:09","modified_gmt":"2023-11-09T15:12:09","slug":"la-democratizaciondel-machine-learning-bl0g","status":"publish","type":"post","link":"https:\/\/news.sap.com\/latinamerica\/2022\/08\/la-democratizaciondel-machine-learning-bl0g\/","title":{"rendered":"La democratizaci\u00f3ndel machine learning"},"content":{"rendered":"

El machine learning ha llegado para generar una revoluci\u00f3n tecnol\u00f3gica no solo en los colaboradores de las empresas y en los estudiantes, gracias a la democratizaci\u00f3n de este, est\u00e1 creando diariamente distintos impactos en la vida de las personas.<\/p>\n

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A pesar de que el mundo ha cambiado, la tecnolog\u00eda sigue siendo un derecho democr\u00e1tico. Hist\u00f3ricamente, las herramientas del machine learning no eran tan accesibles para las personas que no trabajaban dentro de una empresa e inclusive, a\u00fan trabajando en ella, solo el personal m\u00e1s \u201cavanzado\u201d pod\u00eda tener acceso a estas herramientas, debido a la complejidad que representaba, adem\u00e1s del gran desaf\u00edo que podr\u00eda haber sido en ese momento tanto el abrir fuentes de datos, como sistemas operativos para todos los miembros de la empresa.<\/p>\n

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No obstante, en la actualidad las herramientas del machine learning, IA<\/a> y an\u00e1lisis de datos, se han vuelto m\u00e1s accesibles para las personas, independientemente si trabajan en una empresa o no. Un ejemplo de ello son los estudiantes, los cuales se han visto altamente beneficiados al utilizar distintos softwares con estas herramientas. En cuanto al aspecto laboral, la democratizaci\u00f3n del machine learning ha logrado que tanto los colaboradores de las grandes, como de las peque\u00f1as empresas, tengan acceso a ellas y que con esto puedan trabajar de una forma m\u00e1s eficiente.<\/p>\n

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Sin embargo, existe cierto temor con el machine learning, debido a que el brindar a usuarios de m\u00e1s acceso a datos vitales, podr\u00eda desencadenar diversos riesgos de seguridad potenciales y otorgarles a las personas que no est\u00e1n relacionadas \u00edntimamente con este \u201cmundo\u201d, la posibilidad de crear modelos de machine learning que puedan afectar la vida de las personas, con temas de finanzas, seguridad o salud. No obstante, los beneficios son a\u00fan mayores, pero, para llegar a estos se necesita estandarizar herramientas, procesos y plataformas, que permitan a las personas calificadas el poder identificar, acceder a los datos<\/a> y construir sobre lo que ya est\u00e1 hecho, para que se puedan implementar modelos de machine learning m\u00e1s f\u00e1cilmente.<\/p>\n

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Algunos de los grandes beneficios de la democratizaci\u00f3n es que gracias a los constantes incrementos en tecnolog\u00eda de IA y machine learning tanto de c\u00f3digo bajo, como sin c\u00f3digo, les han abierto camino a usuarios que, si no fuera por esto, no tendr\u00edan acceso para elaborar modelos estrat\u00e9gicos. Adem\u00e1s, al ser m\u00e1s accesible, ayuda a tener un ROI incre\u00edble que, al contar con un s\u00f3lido equipo de cient\u00edficos, garantiza que pueda evolucionar y crecer.<\/p>\n

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Es un hecho que el d\u00eda de ma\u00f1ana no sabremos si estamos interactuando con una m\u00e1quina con machine learning o con una persona al momento de adquirir un producto, servicio o tan solo mand\u00e1ndole mensaje a una cuenta por redes sociales. Por ende, se debe de tener una gran responsabilidad al tener tanto poder en nuestras manos, ya que, con tanta tecnolog\u00eda, se puede llegar a generar un gran impacto en la vida de las personas.<\/p>\n

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Facebook<\/a>\u00a0\/\u00a0Twitter<\/a>\u00a0\/\u00a0LinkedIn<\/a>\u00a0\/\u00a0Instagram<\/a><\/p>\n

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\u00a9 2022 麻豆原创 SE. All rights reserved. 麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see http:\/\/www.sap.com\/corporate-en\/legal\/copyright\/index.epx#trademark<\/a> for additional trademark information and notices.<\/p>\n","protected":false},"excerpt":{"rendered":"

El machine learning ha llegado para generar una revoluci\u00f3n tecnol\u00f3gica no solo en los colaboradores de las empresas y en los estudiantes, gracias a la…<\/p>\n","protected":false},"author":522,"featured_media":126410,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[24297],"tags":[56556,56559,56592,5550870,26382,269944],"series":[],"region":[26401],"sapn-display":[5600442,5600440,52078],"sapn-type":[6114],"class_list":["post-126409","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tecnologia","tag-blog-2","tag-blog-de-innovacion-de-sap","tag-business-innovation","tag-tecnologia","tag-tendencias","tag-transformacion-digital","region-latinoamerica","sapn-display-articulo-destacado","sapn-display-articulo-principal","sapn-display-homepage-hero","sapn-type-articulo"],"yoast_head":"\nLa democratizaci\u00f3ndel machine learning - 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