{"id":6217,"date":"2019-11-06T15:38:47","date_gmt":"2019-11-06T15:38:47","guid":{"rendered":"https:\/\/www.kolabtree.com\/blog\/?p=6217"},"modified":"2020-11-09T05:58:32","modified_gmt":"2020-11-09T05:58:32","slug":"top-machine-learning-applications-in-mobile-apps","status":"publish","type":"post","link":"https:\/\/www.kolabtree.com\/blog\/es\/top-machine-learning-applications-in-mobile-apps\/","title":{"rendered":"Las mejores aplicaciones de aprendizaje autom\u00e1tico en las aplicaciones m\u00f3viles"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_45_1 counter-flat ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\">Tabla de contenidos<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" area-label=\"ez-toc-toggle-icon-1\"><label for=\"item-69f1667e3596a\" aria-label=\"Tabla de contenidos\"><span style=\"display: flex;align-items: center;width: 35px;height: 30px;justify-content: center;direction:ltr;\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewbox=\"0 0 24 24\" version=\"1.2\" baseprofile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/label><input  type=\"checkbox\" id=\"item-69f1667e3596a\"><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.kolabtree.com\/blog\/es\/top-machine-learning-applications-in-mobile-apps\/#Finance_and_Banking\" title=\"Finanzas y banca\">Finanzas y banca<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.kolabtree.com\/blog\/es\/top-machine-learning-applications-in-mobile-apps\/#Healthcare\" title=\"Sanidad\u00a0\">Sanidad\u00a0<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.kolabtree.com\/blog\/es\/top-machine-learning-applications-in-mobile-apps\/#Retail_and_ecommerce\" title=\"Venta al por menor y comercio electr\u00f3nico\u00a0\">Venta al por menor y comercio electr\u00f3nico\u00a0<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.kolabtree.com\/blog\/es\/top-machine-learning-applications-in-mobile-apps\/#Advertising_Marketing\" title=\"Publicidad y marketing\">Publicidad y marketing<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.kolabtree.com\/blog\/es\/top-machine-learning-applications-in-mobile-apps\/#Real-World_Applications_of_Machine_Learning_in_Mobile_Apps\" title=\"Aplicaciones reales del aprendizaje autom\u00e1tico en las aplicaciones m\u00f3viles\u00a0\">Aplicaciones reales del aprendizaje autom\u00e1tico en las aplicaciones m\u00f3viles\u00a0<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.kolabtree.com\/blog\/es\/top-machine-learning-applications-in-mobile-apps\/#Netflix\" title=\"Netflix\">Netflix<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.kolabtree.com\/blog\/es\/top-machine-learning-applications-in-mobile-apps\/#Tinder\" title=\"Tinder\">Tinder<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.kolabtree.com\/blog\/es\/top-machine-learning-applications-in-mobile-apps\/#Snapchat\" title=\"Snapchat\">Snapchat<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.kolabtree.com\/blog\/es\/top-machine-learning-applications-in-mobile-apps\/#Google_Maps\" title=\"Google Maps\">Google Maps<\/a><\/li><\/ul><\/nav><\/div>\n<p><span style=\"font-weight: 400;\"><em>Juned Ghanchi escribe sobre la parte superior <a href=\"https:\/\/www.kolabtree.com\/find-an-expert\/subject\/machine-learning?utm_source=Blog&amp;utm_medium=Post&amp;utm_campaign=MLMobileApps\">aprendizaje autom\u00e1tico<\/a> en aplicaciones m\u00f3viles, algunas de las cuales muchos de nosotros utilizamos a diario. <\/em><\/span><\/p>\n<p><span style=\"font-weight: 400;\">Mobile apps, thanks to their all-pervading and all-encompassing role across all spheres of life, have been the subject of several state-of-the-art technologies and innovations. For mobile apps to stand out from the crowd, new technologies are playing an instrumental role. As the demand for personalised user experience is exponentially growing across all digital applications, new technologies like Machine Learning and <a href=\"https:\/\/www.kolabtree.com\/blog\/es\/ensuring-reproducibility-in-ai-driven-research-how-freelance-experts-can-help-in-biotech-and-healthcare\/\">Inteligencia Artificial<\/a> are playing a decisive role in meeting this demand.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Pero, \u00bfc\u00f3mo puede el aprendizaje autom\u00e1tico potenciar las aplicaciones m\u00f3viles? Los desarrolladores de aplicaciones m\u00f3viles utilizan el aprendizaje autom\u00e1tico para mejorar las funciones, desde el reconocimiento facial y la detecci\u00f3n de personas hasta los motores de recomendaci\u00f3n personalizados. Estas son algunas aplicaciones interesantes del aprendizaje autom\u00e1tico en las aplicaciones m\u00f3viles.\u00a0<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Finance_and_Banking\"><\/span><b>Finanzas y banca<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">El an\u00e1lisis predictivo en el sector de las finanzas y la banca tiene una enorme importancia, ya que la predicci\u00f3n precisa de las crisis, las burbujas econ\u00f3micas o las tendencias puede ayudar a las organizaciones a mantenerse alejadas de los factores de riesgo y optimizar las oportunidades de crecimiento. <\/span><b>Puesta en marcha del seguro <a href=\"https:\/\/econsultancy.com\/how-lemonade-disrupted-the-insurance-industry-and-built-a-multi-billion-dollar-business\/\">Limonada<\/a> ha lanzado una aplicaci\u00f3n para smartphones, que utiliza ML y chatbots para ofrecer servicios de seguros.\u00a0<\/b><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Healthcare\"><\/span><b>Sanidad\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">La sanidad es otro sector crucial en el que se espera que el aprendizaje autom\u00e1tico desempe\u00f1e un papel importante. Desde el diagn\u00f3stico de precisi\u00f3n basado en el comportamiento del usuario hasta la creaci\u00f3n de una asistencia sanitaria m\u00e1s proactiva y receptiva basada en las aportaciones del paciente, esta tecnolog\u00eda puede aportar mucha eficiencia y fiabilidad a las pr\u00e1cticas sanitarias modernas. En el caso de ciertas enfermedades potencialmente mortales, como el c\u00e1ncer, que exigen una detecci\u00f3n y un diagn\u00f3stico tempranos, el aprendizaje proactivo de los s\u00edntomas del paciente puede desempe\u00f1ar un papel fundamental. El aprendizaje autom\u00e1tico tambi\u00e9n puede allanar el camino hacia una medicaci\u00f3n y un tratamiento m\u00e1s personalizados para dolencias de distinta naturaleza. <\/span><a href=\"https:\/\/www.kolabtree.com\/blog\/wearable-technology-changing-the-face-of-healthcare\/\"><b>Wearables<\/b><\/a><b> y su juego de aplicaciones para m\u00f3viles asociado est\u00e1n desempe\u00f1ando un gran papel en la actualidad, ayudando a controlar la salud en tiempo real y proporcionando informaci\u00f3n.\u00a0<\/b><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Retail_and_ecommerce\"><\/span><b>Venta al por menor y comercio electr\u00f3nico\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">En todo el sector minorista, incluidas las tiendas de comercio electr\u00f3nico, conocer el comportamiento y los h\u00e1bitos de los clientes desempe\u00f1a un papel crucial. Conocer las preferencias, las inclinaciones y las intenciones de los clientes puede ayudar a las tiendas a abordar las necesidades y las elecciones de los clientes de forma m\u00e1s precisa y pertinente. Las recomendaciones personalizadas basadas en las entradas del usuario pueden ayudar a una tienda a aprovechar las oportunidades de venta de forma m\u00e1s precisa. Algunas de las \u00e1reas clave en las que el comercio electr\u00f3nico <\/span><a href=\"https:\/\/www.indianappdevelopers.com\/\"><span style=\"font-weight: 400;\">desarrolladores de aplicaciones<\/span><\/a><span style=\"font-weight: 400;\"> pueden realmente aprovechar los beneficios de los conocimientos basados en el ML incluyen la b\u00fasqueda de productos, las recomendaciones, la previsi\u00f3n de tendencias, las promociones y el mecanismo de control del fraude. <\/span><b>Un ejemplo de aplicaci\u00f3n de compra m\u00f3vil que utiliza ML es el gigante del comercio electr\u00f3nico Amazon.\u00a0<\/b><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Advertising_Marketing\"><\/span>Publicidad y marketing<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Varias marcas est\u00e1n aprovechando el poder del ML para mostrar anuncios relevantes a usuarios espec\u00edficos. <a href=\"https:\/\/digiday.com\/marketing\/coca-cola-targeted-ads-based-facebook-instagram-photos\/\">Coca cola,<\/a> por ejemplo, utiliza un algoritmo de reconocimiento de im\u00e1genes para detectar autom\u00e1ticamente las im\u00e1genes de sus productos cuando los usuarios suben fotograf\u00edas en las redes sociales. A partir de esta informaci\u00f3n, aprovecha la conversaci\u00f3n y genera anuncios para las audiencias pertinentes. Algunas empresas tambi\u00e9n utilizan la geolocalizaci\u00f3n para mostrarte notificaciones en el m\u00f3vil cuando te acercas a una tienda en la que ya has buscado productos.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><cite>Leer m\u00e1s de Kolabtree: <a href=\"https:\/\/www.kolabtree.com\/blog\/5-companies-using-big-data-and-ai-to-improve-performance\/\">5 empresas que utilizan el Big Data y la IA para mejorar su rendimiento<\/a><\/cite><br \/>\n<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Real-World_Applications_of_Machine_Learning_in_Mobile_Apps\"><\/span><b>Aplicaciones reales del aprendizaje autom\u00e1tico en las aplicaciones m\u00f3viles\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"Netflix\"><\/span><b>Netflix<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Netflix, la aplicaci\u00f3n de v\u00eddeo y multimedia en streaming, utiliza el aprendizaje autom\u00e1tico para ofrecer una mejor experiencia de usuario y mejorar su compromiso. Netflix utiliza el aprendizaje autom\u00e1tico para atender a las preferencias, elecciones e intenciones del usuario, bas\u00e1ndose en sus actividades. <\/span><a href=\"https:\/\/research.netflix.com\/research-area\/machine-learning\"><span style=\"font-weight: 400;\">Investigaci\u00f3n de Netflix<\/span><\/a><span style=\"font-weight: 400;\"> describe c\u00f3mo se utiliza eficazmente el ML en su red.\u00a0\u00a0<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Tinder\"><\/span><b>Tinder<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Tinder, la aplicaci\u00f3n de citas m\u00e1s popular del mundo, ya ha batido todos los r\u00e9cords de participaci\u00f3n y satisfacci\u00f3n de los usuarios entre todas las dem\u00e1s aplicaciones de citas. Tinder utiliza ahora un algoritmo de aprendizaje autom\u00e1tico para entender la intenci\u00f3n y las preferencias del usuario con mayor precisi\u00f3n, y averiguar c\u00f3mo mostrarle un perfil que probablemente deslice hacia la derecha. Vox explica el algoritmo de Tinder <\/span><a href=\"https:\/\/www.vox.com\/2019\/2\/7\/18210998\/tinder-algorithm-swiping-tips-dating-app-science\"><span style=\"font-weight: 400;\">aqu\u00ed<\/span><\/a><span style=\"font-weight: 400;\">.\u00a0<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Snapchat\"><\/span><b>Snapchat<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">El aprendizaje autom\u00e1tico no solo consiste en ofrecer a los clientes recomendaciones perfectas para garantizar un resultado de ventas constante. Snapchat es una de las pocas aplicaciones de \u00e9xito que ha utilizado todas las capacidades de la tecnolog\u00eda de aprendizaje autom\u00e1tico. Filtros como 3D Paint en Snapchat son grandes ejemplos de c\u00f3mo la realidad aumentada y el ML pueden utilizarse juntos para mejorar la visi\u00f3n por ordenador.\u00a0<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Google_Maps\"><\/span><b>Google Maps<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone size-medium wp-image-6223\" src=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/machine-learning-applications-mobile-apps-300x200.jpg\" alt=\"\" width=\"300\" height=\"200\" srcset=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/machine-learning-applications-mobile-apps-300x200.jpg 300w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/machine-learning-applications-mobile-apps-1024x683.jpg 1024w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/machine-learning-applications-mobile-apps-768x512.jpg 768w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/machine-learning-applications-mobile-apps-1080x720.jpg 1080w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/machine-learning-applications-mobile-apps.jpg 1350w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/machine-learning-applications-mobile-apps-300x200@2x.jpg 600w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><br \/>\nEl uso de Machine Learning por parte de Google Maps es otro ejemplo destacado de c\u00f3mo esta tecnolog\u00eda puede garantizar una eficiencia y usabilidad \u00f3ptimas para los usuarios finales. En lugar de esperar cada vez la entrada y el comando de un usuario, Google Maps utiliza ML para predecir <\/span><a href=\"https:\/\/venturebeat.com\/2019\/06\/27\/how-google-maps-uses-machine-learning-to-predict-bus-traffic-delays-in-real-time\/\"><span style=\"font-weight: 400;\">retrasos en los autobuses<\/span><\/a><span style=\"font-weight: 400;\">, <\/span><a href=\"https:\/\/ai.googleblog.com\/2017\/05\/updating-google-maps-with-deep-learning.html\"><span style=\"font-weight: 400;\">leer los nombres de las calles<\/span><\/a><span style=\"font-weight: 400;\">y mucho m\u00e1s.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">En conclusi\u00f3n, el ML y la IA est\u00e1n allanando el camino hacia aplicaciones m\u00e1s inteligentes y amigables con el cliente que eran impensables hace apenas un par de a\u00f1os. El futuro de las aplicaciones m\u00f3viles y las interacciones digitales pertenece a estas tecnolog\u00edas inteligentes.<\/span><\/p>\n<p><strong>Necesita hablar con un <a href=\"https:\/\/www.kolabtree.com\/find-an-expert\/subject\/machine-learning?utm_source=Blog&amp;utm_medium=Post&amp;utm_campaign=MLMobileApps\">consultor de aprendizaje autom\u00e1tico<\/a>? Trabaja con expertos en ML, IA y ciencia de datos en Kolabtree.\u00a0<\/strong><\/p>","protected":false},"excerpt":{"rendered":"<p>Juned Ghanchi escribe sobre las principales aplicaciones de aprendizaje autom\u00e1tico en las aplicaciones m\u00f3viles, algunas de las cuales utilizamos a diario. Las aplicaciones m\u00f3viles, gracias a su papel omnipresente y omnipresente en todas las esferas de la vida, han sido objeto de varias tecnolog\u00edas e innovaciones de vanguardia. Para que las aplicaciones m\u00f3viles destaquen entre las<\/p>\n<div class=\"read-more\"><a href=\"https:\/\/www.kolabtree.com\/blog\/es\/top-machine-learning-applications-in-mobile-apps\/\" title=\"Leer m\u00e1s\">Leer m\u00e1s<\/a><\/div>","protected":false},"author":12,"featured_media":6221,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[434,398,247,433],"tags":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.1 (Yoast SEO v20.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Top Machine Learning Applications in Mobile Apps - The Kolabtree Blog<\/title>\n<meta name=\"description\" content=\"Machine learning applications in mobile apps range from face recognition to personalized recommendations. Here are some interesting use cases.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.kolabtree.com\/blog\/es\/top-machine-learning-applications-in-mobile-apps\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Top Machine Learning Applications in Mobile Apps\" \/>\n<meta property=\"og:description\" content=\"Machine learning applications in mobile apps range from face recognition to personalized recommendations. Here are some interesting use cases.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.kolabtree.com\/blog\/es\/top-machine-learning-applications-in-mobile-apps\/\" \/>\n<meta property=\"og:site_name\" content=\"The Kolabtree Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/kolabtree\" \/>\n<meta property=\"article:published_time\" content=\"2019-11-06T15:38:47+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2020-11-09T05:58:32+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/machine-learning-mobile-apps.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1350\" \/>\n\t<meta property=\"og:image:height\" content=\"900\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Ramya Sriram\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@kolabtree\" \/>\n<meta name=\"twitter:site\" content=\"@kolabtree\" \/>\n<meta name=\"twitter:label1\" content=\"Escrito por\" \/>\n\t<meta name=\"twitter:data1\" content=\"Ramya Sriram\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tiempo de lectura\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutos\" \/>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Top Machine Learning Applications in Mobile Apps - The Kolabtree Blog","description":"Machine learning applications in mobile apps range from face recognition to personalized recommendations. 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