{"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\/pt\/top-machine-learning-applications-in-mobile-apps\/","title":{"rendered":"Top Machine Learning Applications in Mobile Apps"},"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\">Tabela de Conte\u00fados<\/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-69f1540e7697f\" aria-label=\"Table of Content\"><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-69f1540e7697f\"><\/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\/pt\/top-machine-learning-applications-in-mobile-apps\/#Finance_and_Banking\" title=\"Finan\u00e7as e bancos\">Finan\u00e7as e bancos<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.kolabtree.com\/blog\/pt\/top-machine-learning-applications-in-mobile-apps\/#Healthcare\" title=\"Assist\u00eancia m\u00e9dica\u00a0\">Assist\u00eancia m\u00e9dica\u00a0<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.kolabtree.com\/blog\/pt\/top-machine-learning-applications-in-mobile-apps\/#Retail_and_ecommerce\" title=\"Varejo e com\u00e9rcio eletr\u00f4nico\u00a0\">Varejo e com\u00e9rcio eletr\u00f4nico\u00a0<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.kolabtree.com\/blog\/pt\/top-machine-learning-applications-in-mobile-apps\/#Advertising_Marketing\" title=\"Publicidade &amp; Marketing\">Publicidade &amp; Marketing<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.kolabtree.com\/blog\/pt\/top-machine-learning-applications-in-mobile-apps\/#Real-World_Applications_of_Machine_Learning_in_Mobile_Apps\" title=\"Aplica\u00e7\u00f5es do mundo real da aprendizagem de m\u00e1quinas em aplicativos m\u00f3veis\u00a0\">Aplica\u00e7\u00f5es do mundo real da aprendizagem de m\u00e1quinas em aplicativos m\u00f3veis\u00a0<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.kolabtree.com\/blog\/pt\/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\/pt\/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\/pt\/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\/pt\/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 escreve sobre o topo <a href=\"https:\/\/www.kolabtree.com\/find-an-expert\/subject\/machine-learning?utm_source=Blog&amp;utm_medium=Post&amp;utm_campaign=MLMobileApps\">aprendizagem de m\u00e1quinas<\/a> aplica\u00e7\u00f5es em aplica\u00e7\u00f5es m\u00f3veis, algumas das quais muitos de n\u00f3s usamos diariamente. <\/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\/pt\/ensuring-reproducibility-in-ai-driven-research-how-freelance-experts-can-help-in-biotech-and-healthcare\/\">Intelig\u00eancia Artificial<\/a> are playing a decisive role in meeting this demand.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Mas como o aprendizado de m\u00e1quinas pode capacitar aplica\u00e7\u00f5es m\u00f3veis? O ML est\u00e1 sendo usado por desenvolvedores de aplicativos m\u00f3veis para fornecer recursos aprimorados, desde reconhecimento facial e detec\u00e7\u00e3o de pessoas at\u00e9 mecanismos de recomenda\u00e7\u00e3o personalizados. Aqui est\u00e3o alguns aplicativos interessantes de aprendizado de m\u00e1quina em aplicativos m\u00f3veis.\u00a0<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Finance_and_Banking\"><\/span><b>Finan\u00e7as e bancos<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">A an\u00e1lise preditiva no setor financeiro e banc\u00e1rio \u00e9 de enorme import\u00e2ncia, pois a previs\u00e3o precisa de colis\u00f5es, bolhas econ\u00f4micas ou tend\u00eancias pode ajudar as organiza\u00e7\u00f5es a se manterem livres dos fatores de risco, otimizando as oportunidades de crescimento. <\/span><b>In\u00edcio das opera\u00e7\u00f5es de seguro <a href=\"https:\/\/econsultancy.com\/how-lemonade-disrupted-the-insurance-industry-and-built-a-multi-billion-dollar-business\/\">Limonada<\/a> lan\u00e7ou um aplicativo para smartphone, que usa ML e chatbots para fornecer servi\u00e7os de seguro.\u00a0<\/b><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Healthcare\"><\/span><b>Assist\u00eancia m\u00e9dica\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">A sa\u00fade \u00e9 outro setor crucial, onde se espera que a aprendizagem de m\u00e1quinas desempenhe um papel maci\u00e7o. Desde o diagn\u00f3stico de precis\u00e3o baseado no comportamento do usu\u00e1rio at\u00e9 a cria\u00e7\u00e3o de um sistema de sa\u00fade mais proativo e responsivo com base na contribui\u00e7\u00e3o do paciente, esta tecnologia pode trazer muita efici\u00eancia e confiabilidade \u00e0s modernas pr\u00e1ticas de sa\u00fade. Para certas doen\u00e7as que amea\u00e7am a vida, como o c\u00e2ncer, que exige detec\u00e7\u00e3o e diagn\u00f3stico precoce, o aprendizado proativo dos sintomas do paciente pode realmente desempenhar um papel vital. O aprendizado de m\u00e1quinas tamb\u00e9m pode abrir caminho para medicamentos e tratamentos mais personalizados para enfermidades de natureza diferente. <\/span><a href=\"https:\/\/www.kolabtree.com\/blog\/wearable-technology-changing-the-face-of-healthcare\/\"><b>Materiais de uso<\/b><\/a><b> e seus aplicativos m\u00f3veis associados est\u00e3o desempenhando atualmente um enorme papel, ajudando a monitorar a sa\u00fade em tempo real e fornecer feedback.\u00a0<\/b><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Retail_and_ecommerce\"><\/span><b>Varejo e com\u00e9rcio eletr\u00f4nico\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Em todo o setor varejista, incluindo lojas de com\u00e9rcio eletr\u00f4nico, conhecer o comportamento e os h\u00e1bitos dos clientes desempenha um papel crucial. Conhecer as prefer\u00eancias, inclina\u00e7\u00f5es e inten\u00e7\u00f5es do cliente pode ajudar as lojas a atender \u00e0s necessidades e escolhas dos clientes de forma mais precisa e relevante. Recomenda\u00e7\u00f5es personalizadas baseadas em entradas do usu\u00e1rio podem ajudar uma loja a assumir as oportunidades de vendas de uma maneira mais precisa. Algumas das \u00e1reas-chave onde o com\u00e9rcio eletr\u00f4nico <\/span><a href=\"https:\/\/www.indianappdevelopers.com\/\"><span style=\"font-weight: 400;\">desenvolvedores de aplicativos<\/span><\/a><span style=\"font-weight: 400;\"> podem realmente colher o benef\u00edcio de insights baseados no ML, incluindo pesquisa de produtos, recomenda\u00e7\u00f5es, previs\u00e3o de tend\u00eancias, promo\u00e7\u00f5es e mecanismo de controle de fraudes. <\/span><b>Um exemplo de um aplicativo de compras m\u00f3vel usando ML \u00e9 o gigante do com\u00e9rcio eletr\u00f4nico da Amaz\u00f4nia.\u00a0<\/b><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Advertising_Marketing\"><\/span>Publicidade &amp; Marketing<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">V\u00e1rias marcas est\u00e3o explorando o poder do ML para mostrar an\u00fancios relevantes aos usu\u00e1rios visados. <a href=\"https:\/\/digiday.com\/marketing\/coca-cola-targeted-ads-based-facebook-instagram-photos\/\">Coca cola,<\/a> por exemplo, utiliza um algoritmo de reconhecimento de imagem para detectar automaticamente imagens de seus produtos quando os usu\u00e1rios carregam fotografias em m\u00eddias sociais. Com base nestas informa\u00e7\u00f5es, ele ent\u00e3o entra na conversa e gera an\u00fancios para o p\u00fablico relevante. Algumas empresas tamb\u00e9m est\u00e3o usando a geolocaliza\u00e7\u00e3o para mostrar notifica\u00e7\u00f5es m\u00f3veis quando voc\u00ea est\u00e1 mais perto de uma loja na qual voc\u00ea j\u00e1 tenha procurado produtos.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><cite>Leia mais de Kolabtree: <a href=\"https:\/\/www.kolabtree.com\/blog\/5-companies-using-big-data-and-ai-to-improve-performance\/\">5 Empresas que usam grandes dados e intelig\u00eancia artificial para melhorar o desempenho<\/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>Aplica\u00e7\u00f5es do mundo real da aprendizagem de m\u00e1quinas em aplicativos m\u00f3veis\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, o aplicativo de streaming de v\u00eddeo e m\u00eddia, utiliza o aprendizado da m\u00e1quina para proporcionar uma experi\u00eancia aprimorada ao usu\u00e1rio e melhorar seu envolvimento. Netflix usa ML para atender \u00e0s prefer\u00eancias, escolhas e inten\u00e7\u00f5es do usu\u00e1rio, com base nas atividades do usu\u00e1rio. <\/span><a href=\"https:\/\/research.netflix.com\/research-area\/machine-learning\"><span style=\"font-weight: 400;\">Pesquisa Netflix<\/span><\/a><span style=\"font-weight: 400;\"> delineia como o ML est\u00e1 sendo utilizado eficazmente em toda a sua rede.\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, o aplicativo de encontros mundialmente popular, j\u00e1 bateu todos os recordes em termos de envolvimento e satisfa\u00e7\u00e3o do usu\u00e1rio entre todos os outros aplicativos de encontros. O Tinder agora usa um algoritmo de Machine Learning para entender a inten\u00e7\u00e3o e as prefer\u00eancias do usu\u00e1rio com mais precis\u00e3o, e descobrir como mostrar um perfil que voc\u00ea provavelmente vai corrigir. Vox explica o algoritmo do Tinder <\/span><a href=\"https:\/\/www.vox.com\/2019\/2\/7\/18210998\/tinder-algorithm-swiping-tips-dating-app-science\"><span style=\"font-weight: 400;\">aqui<\/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;\">O aprendizado de m\u00e1quinas n\u00e3o se trata apenas de oferecer aos clientes recomenda\u00e7\u00f5es perfeitas para garantir um resultado de vendas consistente. Snapchat \u00e9 um dos poucos aplicativos de sucesso que utilizaram as capacidades completas da tecnologia Machine Learning. Filtros como o 3D Paint in Snapchat s\u00e3o grandes exemplos de como a realidade aumentada e o ML podem ser usados em conjunto para melhorar a vis\u00e3o do computador.\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 \/>\nO uso do Machine Learning by Google Maps \u00e9 outro exemplo proeminente de como esta tecnologia pode garantir efici\u00eancia e usabilidade ideais para os usu\u00e1rios finais. Em vez de esperar cada vez pela entrada e comando de um usu\u00e1rio, o Google Maps utiliza o ML para prever <\/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;\">atrasos nos \u00f4nibus<\/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;\">leia os nomes das ruas<\/span><\/a><span style=\"font-weight: 400;\">e muito mais.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Em conclus\u00e3o, ML e AI est\u00e3o preparando o caminho para aplica\u00e7\u00f5es mais inteligentes e amig\u00e1veis ao cliente que eram impens\u00e1veis h\u00e1 apenas alguns anos. O futuro das aplica\u00e7\u00f5es m\u00f3veis e das intera\u00e7\u00f5es digitais pertence a estas tecnologias inteligentes.<\/span><\/p>\n<p><strong>Necessidade de falar com um <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 aprendizagem de m\u00e1quinas<\/a>? Trabalhar com ML, AI e especialistas em ci\u00eancia de dados em Kolabtree.\u00a0<\/strong><\/p>","protected":false},"excerpt":{"rendered":"<p>Juned Ghanchi escreve sobre as principais aplica\u00e7\u00f5es de aprendizagem de m\u00e1quinas em aplica\u00e7\u00f5es m\u00f3veis, algumas das quais muitos de n\u00f3s usamos diariamente. Os aplicativos m\u00f3veis, gra\u00e7as ao seu papel abrangente e abrangente em todas as esferas da vida, t\u00eam sido objeto de v\u00e1rias tecnologias e inova\u00e7\u00f5es de \u00faltima gera\u00e7\u00e3o. Para que os aplicativos m\u00f3veis se destaquem da<\/p>\n<div class=\"read-more\"><a href=\"https:\/\/www.kolabtree.com\/blog\/pt\/top-machine-learning-applications-in-mobile-apps\/\" title=\"Leia mais\">Leia mais<\/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\/pt\/top-machine-learning-applications-in-mobile-apps\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\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. 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