{"id":3148,"date":"2024-05-13T06:15:43","date_gmt":"2024-05-13T06:15:43","guid":{"rendered":"https:\/\/masternews.online\/moneymakers\/?p=3148"},"modified":"2024-05-13T06:15:43","modified_gmt":"2024-05-13T06:15:43","slug":"machine-learning-transforma-las-areas-de-recursos-humanos","status":"publish","type":"post","link":"https:\/\/masternews.online\/moneymakers\/tecnologia\/machine-learning-transforma-las-areas-de-recursos-humanos\/","title":{"rendered":"Machine Learning transforma las \u00e1reas de Recursos Humanos"},"content":{"rendered":"

El\u00a0Machine Learning<\/strong>\u00a0(ML) es una de las\u00a0tecnolog\u00edas\u00a0m\u00e1s innovadoras del momento<\/strong>, la cual forma parte de la\u00a0Inteligencia Artificial<\/strong> (IA); que permite que las computadoras aprendan por s\u00ed mismas a partir de datos y experiencia<\/h1>\n

La aplicaci\u00f3n de esta tecnolog\u00eda va desde la\u00a0medicina<\/strong>, la ingenier\u00eda, el comercio y hasta el entretenimiento.<\/p>\n

Sin embargo, actualmente, empresas de diversos sectores est\u00e1n recurriendo al ML para llevar a cabo sus procesos de selecci\u00f3n\u00a0de personal<\/strong>, de manera r\u00e1pida y efectiva,\u00a0eliminando los sesgos<\/strong>\u00a0inconscientes y\u00a0reduciendo los costos asociados con la contrataci\u00f3n<\/strong>.<\/p>\n

La implementaci\u00f3n del\u00a0Machine Learning<\/strong>\u00a0en el \u00e1rea de\u00a0capital humano<\/strong>, surge como una soluci\u00f3n real a los problemas que enfrentan las empresas en el reclutamiento de personal, como la\u00a0sobrecarga de trabajo de los equipos de Recursos Humanos<\/strong>, la falta de tiempo y recursos para evaluar a un gran n\u00famero de candidatos.<\/p>\n

El estudio \u201cClaves para la digitalizaci\u00f3n de procesos y personas\u201d, elaborado por la consultora Deloitte, revel\u00f3 que uno de los\u00a0grandes desaf\u00edos de las \u00e1reas de Recursos Humanos es integrar tecnolog\u00eda en la gesti\u00f3n de talento<\/strong>\u00a0e incorporar el uso de herramientas para una\u00a0digitalizaci\u00f3n<\/strong>\u00a0exitosa.<\/p>\n

Cifras del estudio se\u00f1alan que\u00a0el 60% de los encuestados utilizan Machine Learning<\/strong>, aunque el 73% de estos indica que todav\u00eda tienen mucho por explorar sobre esta tecnolog\u00eda; mientras que el 40% a\u00fan no ha implementado la Automatizaci\u00f3n Rob\u00f3tica de Procesos (RPA) en ning\u00fan \u00e1rea de Recursos Humanos.<\/p>\n

Ante esta situaci\u00f3n, Talently, marketplace para encontrar profesionales de la industria y crear equipos tech a la medida al conectar a desarrolladores de software con empresas internacionales, comparte\u00a04 pr\u00e1cticas principales del Machine Learning en el \u00e1rea de Recursos Humanos<\/strong>\u00a0y optimizar las actividades:<\/p>\n

1. Atracci\u00f3n de talento<\/h3>\n

Los algoritmos que utiliza\u00a0el Machine Learning<\/strong>\u00a0analizan grandes cantidades de datos<\/strong>: curr\u00edcula, perfiles de redes sociales, historial de trabajo y la informaci\u00f3n m\u00e1s relevante para identificar patrones y caracter\u00edsticas relacionadas con el \u00e9xito en determinado puesto.<\/p>\n

Captar a los\u00a0candidatos ideales<\/strong>\u00a0y tener la certeza de que tendr\u00e1n un buen desempe\u00f1o es posible\u00a0con el Machine Learning<\/strong>.<\/p>\n

2. Procesos de selecci\u00f3n<\/h3>\n

En comparaci\u00f3n con el m\u00e9todo tradicional, utilizar\u00a0esta herramienta en el proceso de selecci\u00f3n implica ahorro en tiempo<\/strong>, ya que puede\u00a0descartar y elegir a los candidatos de acuerdo con las caracter\u00edsticas<\/strong>\u00a0del puesto.<\/p>\n

Asimismo,\u00a0con el uso de chatbots es posible mantener conversaciones automatizadas<\/strong>\u00a0con los aspirantes y recoger la informaci\u00f3n que aporte datos relevantes.<\/p>\n

3. Retenci\u00f3n de talento<\/h3>\n

Al\u00a0analizar los datos de los empleados<\/strong>\u00a0puede identificar y evaluar el rendimiento, la\u00a0satisfacci\u00f3n laboral<\/a><\/strong>, la asistencia y otros factores relevantes, de esta forma, es posible predecir qu\u00e9 empleados est\u00e1n en riesgo de abandonar la empresa o qui\u00e9nes son los m\u00e1s capacitados.<\/p>\n

Con esta informaci\u00f3n,\u00a0las organizaciones pueden tomar medidas, motivarlos de manera adecuada y retener al talento<\/strong>\u00a0y, al mismo tiempo, alcanzar la satisfacci\u00f3n laboral de los colaboradores.<\/p>\n

4. Desarrollo y fortalecimiento de skills<\/h3>\n

Las empresas pueden utilizar el\u00a0Machine Learning para analizar las habilidades de los empleados<\/strong>, que, aunado a otras variables como cursos realizados, intereses y objetivos profesionales.<\/p>\n

Adem\u00e1s, presenta las necesidades de formaci\u00f3n y\u00a0ayuda a dise\u00f1ar programas personalizados para desarrollar su talento al m\u00e1ximo<\/strong>.<\/p>\n

Es importante destacar que\u00a0esta tecnolog\u00eda no tiene el objetivo de reemplazar a los humanos<\/strong>, al contrario, busca ser un apoyo que simplifique tareas.<\/p>\n

Aunque el\u00a0Machine Learning puede analizar grandes cantidades de datos y encontrar patrones ocultos\u00a0<\/strong>de manera mucho m\u00e1s r\u00e1pida y efectiva que los humanos,\u00a0a\u00fan necesita de la intervenci\u00f3n de ellos para interpretar los resultados y tomar decisiones informadas<\/strong>.<\/p>\n

Adem\u00e1s, la tecnolog\u00eda necesita una constante actualizaci\u00f3n que le ayude a mantener una base de datos vigente y que permita atender las necesidades espec\u00edficas de sus usuarios.<\/p>\n","protected":false},"excerpt":{"rendered":"

El\u00a0Machine Learning\u00a0(ML) es una de las\u00a0tecnolog\u00edas\u00a0m\u00e1s innovadoras del momento, la cual forma parte de la\u00a0Inteligencia Artificial (IA); que permite que las computadoras aprendan por s\u00ed mismas a partir de datos y experiencia La aplicaci\u00f3n de esta tecnolog\u00eda va desde la\u00a0medicina, la ingenier\u00eda, el comercio y hasta el entretenimiento. Sin embargo, actualmente, empresas de diversos sectores<\/p>\n","protected":false},"author":1,"featured_media":3149,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[99],"tags":[280,281],"class_list":["post-3148","post","type-post","status-publish","format-standard","has-post-thumbnail","category-tecnologia","tag-machine-learning","tag-recursos-humanos"],"yoast_head":"\nMachine Learning transforma las \u00e1reas de Recursos Humanos - Money Makers<\/title>\n<meta name=\"description\" content=\"El Machine Learning analiza las habilidades de los candidatos, los puede descartar o elegir de acuerdo con las caracter\u00edsticas del puesto\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/masternews.online\/moneymakers\/rh-y-capacitacion\/machine-learning-transforma-las-areas-de-recursos-humanos\/\" 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